Add files using upload-large-folder tool

data/hfopenllm_v2/1TuanPham/T-VisStar-7B-v0.1/c8fc4c9c-d101-4558-b9c5-2366687c7515.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/1TuanPham_T-VisStar-7B-v0.1/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "T-VisStar-7B-v0.1",
+    "id": "1TuanPham/T-VisStar-7B-v0.1",
+    "developer": "1TuanPham",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": "7.294"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5052
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3211
+      }
+    }
+  ]
+}

data/hfopenllm_v2/1TuanPham/T-VisStar-v0.1/d21f1afe-a0d9-4c81-85ec-d3cc616066d9.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/1TuanPham_T-VisStar-v0.1/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "T-VisStar-v0.1",
+    "id": "1TuanPham/T-VisStar-v0.1",
+    "developer": "1TuanPham",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": "7.294"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5052
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4375
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3211
+      }
+    }
+  ]
+}

data/hfopenllm_v2/AbacusResearch/Jallabi-34B/1302359d-57c4-48fa-b88e-8f7d7b1ca3ee.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/AbacusResearch_Jallabi-34B/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Jallabi-34B",
+    "id": "AbacusResearch/Jallabi-34B",
+    "developer": "AbacusResearch",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "34.389"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3529
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6023
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0521
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3389
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4822
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4682
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Ayush-Singh/Llama1B-sft-2/c23756c0-7296-4b23-8f15-5ee62c1a0005.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Ayush-Singh_Llama1B-sft-2/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama1B-sft-2",
+    "id": "Ayush-Singh/Llama1B-sft-2",
+    "developer": "Ayush-Singh",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "1.236"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1374
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2834
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2458
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3552
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1117
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Ba2han/Llama-Phi-3_DoRA/8e92c611-9e50-45bc-bb20-1968a9d276cc.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Ba2han_Llama-Phi-3_DoRA/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Llama-Phi-3_DoRA",
+    "id": "Ba2han/Llama-Phi-3_DoRA",
+    "developer": "Ba2han",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": "3.821"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5131
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5515
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1216
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3263
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4069
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3915
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0/3772c27d-9b8b-4634-ab4f-3a9ad91f9682.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BenevolenceMessiah_Qwen2.5-72B-2x-Instruct-TIES-v1.0/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-72B-2x-Instruct-TIES-v1.0",
+    "id": "BenevolenceMessiah/Qwen2.5-72B-2x-Instruct-TIES-v1.0",
+    "developer": "BenevolenceMessiah",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "72.7"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5473
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7273
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5785
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4207
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5628
+      }
+    }
+  ]
+}

data/hfopenllm_v2/BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0/aa59dfce-416a-44fa-b3ce-d14f51229baf.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/BenevolenceMessiah_Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0",
+    "id": "BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0",
+    "developer": "BenevolenceMessiah",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MixtralForCausalLM",
+      "params_billions": "28.309"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3012
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4909
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0415
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2626
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.408
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.268
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CausalLM/14B/e48f8209-2ac5-455d-a0c6-2f3cbfe7e44f.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CausalLM_14B/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "14B",
+    "id": "CausalLM/14B",
+    "developer": "CausalLM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "14.0"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2788
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.47
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0755
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3029
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4155
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3221
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CausalLM/34b-beta/d31a30a0-6a05-42bf-a37d-c00b8cee7ac4.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CausalLM_34b-beta/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "34b-beta",
+    "id": "CausalLM/34b-beta",
+    "developer": "CausalLM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "34.389"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3043
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5591
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0483
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3465
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3749
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5325
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CausalLM/preview-1-hf/061c1658-0326-4de8-b9c4-15ec4667e8ed.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CausalLM_preview-1-hf/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "preview-1-hf",
+    "id": "CausalLM/preview-1-hf",
+    "developer": "CausalLM",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GlmForCausalLM",
+      "params_billions": "9.543"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5559
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3615
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0302
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2617
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3422
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3597
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Changgil/K2S3-14b-v0.2/b2251f0b-2a6a-496f-9767-16eb9e7e83b1.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Changgil_K2S3-14b-v0.2/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "K2S3-14b-v0.2",
+    "id": "Changgil/K2S3-14b-v0.2",
+    "developer": "Changgil",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": "14.352"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3243
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4613
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0574
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3923
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2644
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Changgil/K2S3-v0.1/0c1e19f3-0e04-4f13-b208-4fc80d8d2979.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Changgil_K2S3-v0.1/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "K2S3-v0.1",
+    "id": "Changgil/K2S3-v0.1",
+    "developer": "Changgil",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "MistralForCausalLM",
+      "params_billions": "14.352"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3277
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4655
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0461
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2643
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4014
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2562
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/85f459ca-942e-446a-be0f-33abccc44947.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-Gemma-2b-dpo-v1.0/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "LION-Gemma-2b-dpo-v1.0",
+    "id": "Columbia-NLP/LION-Gemma-2b-dpo-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": "2.506"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3102
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3881
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0536
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2534
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4081
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1665
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-dpo-v1.0/bc91b444-a913-4c2d-ae5d-7716430cb72b.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-Gemma-2b-dpo-v1.0/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "LION-Gemma-2b-dpo-v1.0",
+    "id": "Columbia-NLP/LION-Gemma-2b-dpo-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": "2.506"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3278
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.392
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0431
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2492
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.412
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1666
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-odpo-v1.0/14b07cd3-eb97-4e21-9a4f-42f8924af425.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-Gemma-2b-odpo-v1.0/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "LION-Gemma-2b-odpo-v1.0",
+    "id": "Columbia-NLP/LION-Gemma-2b-odpo-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": "2.506"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3066
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3896
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.0695
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2424
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4279
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1692
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Columbia-NLP/LION-Gemma-2b-sft-v1.0/80c2a415-176b-4a19-b255-57f2ae8cc05e.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-Gemma-2b-sft-v1.0/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "LION-Gemma-2b-sft-v1.0",
+    "id": "Columbia-NLP/LION-Gemma-2b-sft-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "GemmaForCausalLM",
+      "params_billions": "2.506"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3692
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3879
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.068
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2559
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4027
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1782
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0/aec6e49e-1a0e-4a10-bc35-a9d93fde5fc6.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-LLaMA-3-8b-dpo-v1.0/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "LION-LLaMA-3-8b-dpo-v1.0",
+    "id": "Columbia-NLP/LION-LLaMA-3-8b-dpo-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4957
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5028
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1171
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.281
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4097
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3219
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0/b2156572-da1d-4bf9-9728-8bc7bd00a944.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-LLaMA-3-8b-odpo-v1.0/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "LION-LLaMA-3-8b-odpo-v1.0",
+    "id": "Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3968
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5024
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.1065
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2852
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4057
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3152
+      }
+    }
+  ]
+}

data/hfopenllm_v2/Columbia-NLP/LION-LLaMA-3-8b-sft-v1.0/0a5d83f1-48e9-4bf8-80bb-0becb08afdcb.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/Columbia-NLP_LION-LLaMA-3-8b-sft-v1.0/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "LION-LLaMA-3-8b-sft-v1.0",
+    "id": "Columbia-NLP/LION-LLaMA-3-8b-sft-v1.0",
+    "developer": "Columbia-NLP",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "LlamaForCausalLM",
+      "params_billions": "8.03"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3817
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5088
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.114
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.2777
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4503
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3237
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Broca/2d7a5034-deb5-4fe6-828f-729c9dd20297.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Broca/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Broca",
+    "id": "CultriX/Qwen2.5-14B-Broca",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5604
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6527
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.358
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3867
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4767
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5364
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-BrocaV9/55e43dd6-8424-4439-aa34-735e9b3a0c92.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-BrocaV9/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-BrocaV9",
+    "id": "CultriX/Qwen2.5-14B-BrocaV9",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6763
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6391
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3641
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.469
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5331
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav3/233dff56-a82b-41fe-aeb2-86369f46807b.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Brocav3/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Brocav3",
+    "id": "CultriX/Qwen2.5-14B-Brocav3",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6952
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6452
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3875
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3591
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4756
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5317
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav6/b21108dd-7691-4684-9e9c-3d2f47f9917b.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Brocav6/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Brocav6",
+    "id": "CultriX/Qwen2.5-14B-Brocav6",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6995
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6389
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3875
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4742
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5319
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Brocav7/90484185-a3a5-4a26-b260-6820d3edac14.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Brocav7/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Brocav7",
+    "id": "CultriX/Qwen2.5-14B-Brocav7",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "float16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6724
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6444
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4796
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5258
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Emerged/314694e0-3acc-4ad7-9ba3-c67f47e393a1.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Emerged/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Emerged",
+    "id": "CultriX/Qwen2.5-14B-Emerged",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.626
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3248
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3574
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4691
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5186
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Emergedv3/c979568e-f89e-473b-a437-a59637e92afe.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Emergedv3/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Emergedv3",
+    "id": "CultriX/Qwen2.5-14B-Emergedv3",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6388
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6191
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4358
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4728
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5174
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-FinalMerge/0a218722-15cc-4f89-990a-eab742632633.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-FinalMerge/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-FinalMerge",
+    "id": "CultriX/Qwen2.5-14B-FinalMerge",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4891
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5715
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3549
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4379
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4574
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyper/c952d6b4-af1e-4569-ae9c-01b942faa372.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Hyper/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Hyper",
+    "id": "CultriX/Qwen2.5-14B-Hyper",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5391
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6507
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3437
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3918
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4898
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5374
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-HyperMarck-dl/149a2643-93a6-4437-b580-ce73fe5b6d24.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-HyperMarck-dl/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-HyperMarck-dl",
+    "id": "CultriX/Qwen2.5-14B-HyperMarck-dl",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.665
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6096
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5287
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3674
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4416
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5091
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyperionv3/bb079262-2270-4e5f-879a-30a0aa20d0d8.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Hyperionv3/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Hyperionv3",
+    "id": "CultriX/Qwen2.5-14B-Hyperionv3",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6836
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6522
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3701
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3708
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.473
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.534
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyperionv4/2ca07c27-95e8-42e5-a2fb-e44495be917d.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Hyperionv4/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Hyperionv4",
+    "id": "CultriX/Qwen2.5-14B-Hyperionv4",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5416
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6472
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3474
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3977
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4832
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5364
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Hyperionv5/2708750a-0ea6-45bd-9f2d-f40ac8f9d130.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Hyperionv5/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Hyperionv5",
+    "id": "CultriX/Qwen2.5-14B-Hyperionv5",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6729
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6443
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3822
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3716
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4795
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5302
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-MegaMerge-pt2/53319b6a-c3e4-4d44-a3ff-589cdc4b10e9.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-MegaMerge-pt2/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-MegaMerge-pt2",
+    "id": "CultriX/Qwen2.5-14B-MegaMerge-pt2",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5683
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6578
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3995
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3792
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4729
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5421
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-MergeStock/db519cbc-c5bf-4425-814e-f5f66c60cf40.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-MergeStock/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-MergeStock",
+    "id": "CultriX/Qwen2.5-14B-MergeStock",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5685
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6579
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4147
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3733
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4676
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5396
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-ReasoningMerge/9ccd4d3d-724d-46c9-b338-e49412192793.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-ReasoningMerge/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-ReasoningMerge",
+    "id": "CultriX/Qwen2.5-14B-ReasoningMerge",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4605
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6578
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5204
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4077
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5166
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5345
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Ultimav2/e7277122-42e5-43b7-845d-5fd26ccd98bf.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Ultimav2/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Ultimav2",
+    "id": "CultriX/Qwen2.5-14B-Ultimav2",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.55
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6555
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3844
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3851
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4966
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5417
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Unity/940e8a32-8db0-4b74-b6ca-3b61f0b235bc.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Unity/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Unity",
+    "id": "CultriX/Qwen2.5-14B-Unity",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6739
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.602
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4313
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3473
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4679
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5076
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke-SFT/1378704f-d191-4b59-8241-084c9d224542.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Wernicke-SFT/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Wernicke-SFT",
+    "id": "CultriX/Qwen2.5-14B-Wernicke-SFT",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.77"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4937
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6461
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3595
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.354
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.39
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.507
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke-SLERP/5ca47e81-2fe3-448c-b596-1be869ce99f8.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Wernicke-SLERP/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Wernicke-SLERP",
+    "id": "CultriX/Qwen2.5-14B-Wernicke-SLERP",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.491"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5589
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6441
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4486
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.344
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.414
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5094
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernicke/ac2bbe4e-2523-4d43-baff-1ebbf3b639fa.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Wernicke/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Wernicke",
+    "id": "CultriX/Qwen2.5-14B-Wernicke",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.77"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5235
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6568
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3814
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3935
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4689
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5424
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-Wernickev3/aa8ec99c-95b1-45bd-ba30-c570fd12f90b.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-Wernickev3/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-Wernickev3",
+    "id": "CultriX/Qwen2.5-14B-Wernickev3",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.7048
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6184
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3542
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3624
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4717
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5151
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwen2.5-14B-partialmergept1/a95387f1-5472-4337-8643-ff92bd35383b.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwen2.5-14B-partialmergept1/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwen2.5-14B-partialmergept1",
+    "id": "CultriX/Qwen2.5-14B-partialmergept1",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6337
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6151
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4539
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3616
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4757
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5208
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwenfinity-2.5-14B/0a6b215d-7d91-457a-a3f3-ab0914fd1532.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwenfinity-2.5-14B/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwenfinity-2.5-14B",
+    "id": "CultriX/Qwenfinity-2.5-14B",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4814
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5655
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4101
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.349
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4506
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4498
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/Qwestion-14B/71fb3fe2-b8a2-4394-8cc0-a8097dfe3475.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_Qwestion-14B/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "Qwestion-14B",
+    "id": "CultriX/Qwestion-14B",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6318
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.645
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3724
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3683
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4636
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5422
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/SeQwence-14B-EvolMerge/691b2fe7-011a-4540-ab1b-79adfd790f4c.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_SeQwence-14B-EvolMerge/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "SeQwence-14B-EvolMerge",
+    "id": "CultriX/SeQwence-14B-EvolMerge",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5382
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6572
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3671
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3809
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4821
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5419
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/SeQwence-14B-EvolMergev1/3863917f-7a8d-4919-ac41-d5ab4783d773.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_SeQwence-14B-EvolMergev1/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "SeQwence-14B-EvolMergev1",
+    "id": "CultriX/SeQwence-14B-EvolMergev1",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5555
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6546
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4215
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3767
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4623
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5393
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/SeQwence-14B-v5/32641be5-c578-45b4-b673-18999eef7c0d.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_SeQwence-14B-v5/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "SeQwence-14B-v5",
+    "id": "CultriX/SeQwence-14B-v5",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.592
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6517
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3308
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.37
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4714
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5415
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/SeQwence-14B/3d8eddee-f141-4295-9ef5-a1d349cc6bef.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_SeQwence-14B/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "SeQwence-14B",
+    "id": "CultriX/SeQwence-14B",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5352
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6506
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3535
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4666
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5419
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/SeQwence-14Bv1/675cebb0-b4a4-4479-b642-3a53b8d29c44.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_SeQwence-14Bv1/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "SeQwence-14Bv1",
+    "id": "CultriX/SeQwence-14Bv1",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6678
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6345
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.361
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3616
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4704
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.532
+      }
+    }
+  ]
+}

data/hfopenllm_v2/CultriX/SeQwence-14Bv2/45752425-1793-449b-acb7-7f370b3d2fad.json

@@ -0,0 +1,139 @@
+{
+  "schema_version": "0.2.2",
+  "evaluation_id": "hfopenllm_v2/CultriX_SeQwence-14Bv2/1783217130.7702034",
+  "retrieved_timestamp": "1783217130.7702034",
+  "source_metadata": {
+    "source_name": "HF Open LLM v2",
+    "source_type": "documentation",
+    "source_organization_name": "Hugging Face",
+    "evaluator_relationship": "third_party"
+  },
+  "eval_library": {
+    "name": "lm-evaluation-harness",
+    "version": "0.4.0",
+    "additional_details": {
+      "fork": "https://github.com/huggingface/lm-evaluation-harness/tree/adding_all_changess"
+    }
+  },
+  "model_info": {
+    "name": "SeQwence-14Bv2",
+    "id": "CultriX/SeQwence-14Bv2",
+    "developer": "CultriX",
+    "inference_platform": "unknown",
+    "additional_details": {
+      "precision": "bfloat16",
+      "architecture": "Qwen2ForCausalLM",
+      "params_billions": "14.766"
+    }
+  },
+  "evaluation_results": [
+    {
+      "evaluation_name": "IFEval",
+      "source_data": {
+        "dataset_name": "IFEval",
+        "source_type": "hf_dataset",
+        "hf_repo": "google/IFEval"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on IFEval",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5786
+      }
+    },
+    {
+      "evaluation_name": "BBH",
+      "source_data": {
+        "dataset_name": "BBH",
+        "source_type": "hf_dataset",
+        "hf_repo": "SaylorTwift/bbh"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on BBH",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.6305
+      }
+    },
+    {
+      "evaluation_name": "MATH Level 5",
+      "source_data": {
+        "dataset_name": "MATH Level 5",
+        "source_type": "hf_dataset",
+        "hf_repo": "DigitalLearningGmbH/MATH-lighteval"
+      },
+      "metric_config": {
+        "evaluation_description": "Exact Match on MATH Level 5",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4758
+      }
+    },
+    {
+      "evaluation_name": "GPQA",
+      "source_data": {
+        "dataset_name": "GPQA",
+        "source_type": "hf_dataset",
+        "hf_repo": "Idavidrein/gpqa"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on GPQA",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.3607
+      }
+    },
+    {
+      "evaluation_name": "MUSR",
+      "source_data": {
+        "dataset_name": "MUSR",
+        "source_type": "hf_dataset",
+        "hf_repo": "TAUR-Lab/MuSR"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MUSR",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.4601
+      }
+    },
+    {
+      "evaluation_name": "MMLU-PRO",
+      "source_data": {
+        "dataset_name": "MMLU-PRO",
+        "source_type": "hf_dataset",
+        "hf_repo": "TIGER-Lab/MMLU-Pro"
+      },
+      "metric_config": {
+        "evaluation_description": "Accuracy on MMLU-PRO",
+        "lower_is_better": false,
+        "score_type": "continuous",
+        "min_score": 0.0,
+        "max_score": 1.0
+      },
+      "score_details": {
+        "score": 0.5334
+      }
+    }
+  ]
+}