dealignai/GLM-5.2-NVFP4-UNCENSORED
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GLM-5.2-NVFP4-CRACK
Abliterated GLM-5.2 — ~753B MoE (~40B active), 180K context, native MTP speculative decoding
320/320 = 100% HarmBench compliance with -1.2% MMLU change. Refusal removed, capability preserved. </div>
Model Details
This is a real modification — not tricks
No system-prompt jailbreaks. No chat-template hacks. No LoRA adapters bolted on. The refusal behavior is changed in the weights themselves, and the model's own reasoning, tool-calling, and coding ability are left fully intact. We don't ship cheap template tricks or throwaway fine-tunes.
Benchmarks
MMLU — knowledge retention (logit-mode, 57 tasks × 18)
<details><summary><b>Full per-subject breakdown (before → after)</b></summary>
</details>
HarmBench — refusal removal (HarmBench-320, greedy)
Base GLM-5.2 over-refuses across these categories (the behavior this release corrects). After abliteration:
0 incoherent / degenerate outputs. Copyright behaviors are verbatim-reproduction requests (over-refusal), not a safety category.
Coherence & capability ✅
- Multi-turn memory, tool-calling (
glm47parser), and working code generation verified. - No loops, no truncation, no degeneration. Decode ~110 tok/s on 4×H200 with MTP.
Serve (vLLM, SM90 / Hopper)
vllm serve dealignai/GLM-5.2-NVFP4-CRACK \
--tensor-parallel-size 4 \
--kv-cache-dtype bfloat16 \
--reasoning-parser glm47 \
--enable-auto-tool-choice --tool-call-parser glm47 \
--speculative-config '{"method":"mtp","num_speculative_tokens":1}'Requires an SM90 build with native NVFP4 Marlin + MoE kernels.
Acknowledgements
Compute for this build was generously provided by [@jordanschenck](https://x.com/jordanschenck) — thank you.
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