Instructions to use hkust-nlp/dart-math-llama3-8b-prop2diff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hkust-nlp/dart-math-llama3-8b-prop2diff with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="hkust-nlp/dart-math-llama3-8b-prop2diff")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("hkust-nlp/dart-math-llama3-8b-prop2diff")
model = AutoModelForCausalLM.from_pretrained("hkust-nlp/dart-math-llama3-8b-prop2diff", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use hkust-nlp/dart-math-llama3-8b-prop2diff with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "hkust-nlp/dart-math-llama3-8b-prop2diff"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "hkust-nlp/dart-math-llama3-8b-prop2diff",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/hkust-nlp/dart-math-llama3-8b-prop2diff

SGLang

How to use hkust-nlp/dart-math-llama3-8b-prop2diff with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "hkust-nlp/dart-math-llama3-8b-prop2diff" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "hkust-nlp/dart-math-llama3-8b-prop2diff",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "hkust-nlp/dart-math-llama3-8b-prop2diff" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "hkust-nlp/dart-math-llama3-8b-prop2diff",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use hkust-nlp/dart-math-llama3-8b-prop2diff with Docker Model Runner:
```
docker model run hf.co/hkust-nlp/dart-math-llama3-8b-prop2diff
```

tongyx361 commited on Jul 19, 2024

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@@ -84,7 +84,9 @@ model-index:
 # DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
-📝 [Paper@arXiv](https://arxiv.org/abs/2407.13690) | 🤗 [Datasets&Models@HF](https://huggingface.co/collections/hkust-nlp/dart-math-665704599b35de59f8fdf6c1) | 🐱 [Code@GitHub](https://github.com/hkust-nlp/dart-math) | 🐦 [Thread@X(Twitter)](https://x.com/tongyx361/status/1811413243350454455) | 🐶 [中文博客@知乎](https://zhuanlan.zhihu.com/p/708371895) | 📑 [BibTeX](https://github.com/hkust-nlp/dart-math?tab=readme-ov-file#citation)
 ## Models: `DART-Math`

 # DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
+📝 [Paper@arXiv](https://arxiv.org/abs/2407.13690) | 🤗 [Datasets&Models@HF](https://huggingface.co/collections/hkust-nlp/dart-math-665704599b35de59f8fdf6c1) | 🐱 [Code@GitHub](https://github.com/hkust-nlp/dart-math)
+🐦 [Thread@X(Twitter)](https://x.com/tongyx361/status/1811413243350454455) | 🐶 [中文博客@知乎](https://zhuanlan.zhihu.com/p/708371895) | 📊 [Leaderboard@PapersWithCode](https://paperswithcode.com/paper/dart-math-difficulty-aware-rejection-tuning#results) | 📑 [BibTeX](https://github.com/hkust-nlp/dart-math?tab=readme-ov-file#citation)
 ## Models: `DART-Math`