--- license: mit base_model: - Blackfrost-AI/GLM-5.2-ABLITERATED-BF16 base_model_relation: quantized pipeline_tag: text-generation library_name: vllm language: [en, zh] tags: [glm, glm-5.2, glm_moe_dsa, mixture-of-experts, moe, abliterated, uncensored, nvfp4, fp4, mtp, speculative-decoding, vllm, security-research, red-teaming] ---
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GLM-5.2-ABLITERATED-NVFP4

NVFP4 · MTP-accelerated · 8× RTX PRO 6000 Blackwell · verified 0-refusal

Built by Blackfrost · Las Vegas, NV

--- > ## ⚠️ UNCENSORED > > Refusal directions in the residual stream have been ablated, so the model does not decline > requests on content-policy grounds. Read the Disclaimer before downloading. --- ## Why this model exists The **Blackfrost-verified** build of the ABLITERATED family: GLM-5.2 quantized to **NVFP4 (4-bit)** and accelerated with **multi-token-prediction speculative decoding**, so a ~753B MoE runs *fast* on a single 8× Blackwell node — with a verified 0-refusal profile. ![Decode throughput on 8× RTX PRO 6000 — 2.1× faster with MTP acceleration](https://huggingface.co/datasets/Blackfrost-AI/card-assets/resolve/main/glm-5.2-benchmark.png) --- ## Specifications | | | |---|---| | **Architecture** | `GlmMoeDsaForCausalLM` (`glm_moe_dsa`) — GLM MoE with MLA + DSA | | **Parameters** | ~753B total MoE · NVFP4 footprint ≈ **420 GB** | | **Layers** | 78 (first 3 dense, remaining MoE) + 1 MTP prediction layer | | **Experts** | 256 routed, 8 active per token, + 1 shared | | **Attention** | MLA (`kv_lora_rank` 512, `q_lora_rank` 2048) + DSA sparse indexer | | **Context** | up to 1,048,576 | | **Quantization** | **NVFP4** 4-bit, group-size 16, **experts-only** — attention pathway kept high-precision so the de-risk survives quantization | | **Acceleration** | **MTP speculative decoding**, built into the shipped serving stack | | **Target hardware** | **8× RTX PRO 6000 Blackwell (SM120)** | --- ## Lineage ``` zai-org/GLM-5.2 base foundation model, ZhipuAI └─ huihui-ai/Huihui-GLM-5.2-abliterated-GGUF refusal directions ablated (Q3_K GGUF) └─ Blackfrost-AI/GLM-5.2-ABLITERATED-BF16 up-cast to BF16 safetensors └─ Blackfrost-AI/GLM-5.2-ABLITERATED-NVFP4 ← this repo ``` | | | |---|---| | **Base foundation** | [`zai-org/GLM-5.2`](https://huggingface.co/zai-org/GLM-5.2) — ZhipuAI | | **Abliteration** | [`huihui-ai`](https://huggingface.co/huihui-ai) — refusal directions ablated | | **Blackfrost applied** | Format up-cast to BF16, then **NVFP4** quantization + MTP acceleration | | **Not applied** | Additional abliteration · SFT · DPO · RLHF | Full credit to **ZhipuAI** for GLM-5.2 and to **`huihui-ai`** for the abliteration. No additional fine-tuning or abliteration was performed by Blackfrost. > Blackfrost also publishes an **in-house** de-risked GLM-5.2 line derived directly from > `zai-org/GLM-5.2` source rather than from a third-party abliteration — see > [`BlackfrostAI/GLM-5.2-DERISKED-BF16`](https://huggingface.co/BlackfrostAI/GLM-5.2-DERISKED-BF16). > **This repository is not that.** --- ## Measured behaviour ### Throughput — single-stream, 8× RTX PRO 6000 (SM120) | Decode mode | Throughput | |---|---| | **MTP acceleration (shipped)** | **~56.1 tok/s** | | Standard decode | ~26.5 tok/s | **~2.1× faster on the same 8 cards.** ### Refusal — evaluated on the live serve Every substring-flagged case was read by hand to confirm. | Dataset | Prompts | True refusals | |---|---|---| | **AdvBench** (harmful) | 150 | **0** | | **StrongREJECT** (harmful) | 150 | **0** | | **XSTest — safe** (over-refusal) | 150 | **0** | | **Coherence** (all sets) | 450 | **0 incoherent** | **True refusal rate: 0 / 300 harmful prompts.** Quantization neither adds nor restores safety behaviour. **Method caveat.** Validated on a 450-prompt evaluation (substring pre-filter + manual review), not an exhaustive benchmark, and on one serving configuration. --- ## Limitations - **4-bit quantized** — expect quality below the full-precision base, especially on long, hard reasoning. - Tuned for **SM120 (Blackwell)**; other architectures need a different serving backend. - Refusal behaviour validated on 450 prompts, not exhaustively. --- ## Deployment notes - **Hardware.** ~420 GB. 8× RTX PRO 6000 Blackwell (SM120), TP=8, vLLM. - **Parsers.** `--reasoning-parser glm45`, `--tool-call-parser glm47`. For a clean refusal test set `enable_thinking=false`. - **Integrity.** Verify shard count and byte totals before attributing a load failure to the weights. --- ## Disclaimer **Refusal behaviour in this checkpoint has been removed.** It is not a safety-stock model and must not be deployed, marketed, or evaluated as one. It will comply with requests a consumer model would decline. **No warranty of any kind.** Provided "as is", without warranty express or implied, including fitness for a particular purpose. Nothing here guarantees that any given input will be accepted or refused, that any capability is retained, or that any category of output is unreachable. **Measurements describe what was measured** under the stated harness and conditions. They are not safety proofs and do not generalise to multimodal, tool-use, long-context or multi-turn adversarial settings. **Modification by a recipient voids this characterization.** Blackfrost's obligations attach at the point of release. Any further ablation, fine-tuning, merging, quantization or alteration produces an artifact Blackfrost has not evaluated and does not stand behind — responsibility transfers entirely to whoever produced it. **Operator-owned policy.** Open weights mean the operator sets and enforces policy. You are responsible for adding your own safety filtering, human review, and access controls. --- ## Access & licensing - **Base licence:** inherited from **GLM-5.2** (ZhipuAI / Z.ai) — review and comply before any use or redistribution. - **Deploy kit:** the tuned serving stack that delivers the Blackwell performance above is provided **to licensees**, not published here. - **Commercial licensing & access:** **[redpillreader.com/models](https://www.redpillreader.com/models)** — card or Bitcoin (−10%). Purchase grants your Hugging Face account access to the gated repo automatically. --- ## Contact Blackfrost

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GLM-5.2-ABLITERATED-NVFP4 · © 2026 Blackfrost Softwares Corp.
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