85 GPU-hours comparing 5 abliteration methods on Qwen3.6-27B: benchmarks, safety, weight forensics - Abliterlitics

· r/LocalLLaMA ·

Systematic 85-hour benchmark comparing five abliteration methods on Qwen3.6-27B finds Heretic and Huihui best preserve capabilities, with release of Abliterlitics forensics toolkit.

Categories: OSS & Tools, Research

Excerpt

I've been building [Abliterlitics](https://github.com/dreamfast/abliterlitics), an open-source abliteration forensics toolkit. The idea is straightforward: take the same base model, compare the different abliteration techniques others have applied, then measure what actually changed using benchmarks, safety evaluation, distribution shift, and weight-level analysis. This post covers Qwen3.6-27B, comparing five abliteration variants against the base model. I recovered safetensors from HauhauCS's Q8_K_P GGUF, then ran 85 hours of benchmarks, HarmBench, KL divergence, and weight forensics across all six. Heretic and Huihui are the top two for capability preservation: Huihui has the smallest benchmark deltas, Heretic has the lowest KL divergence. All five abliterated models reach near-complete safety removal. AEON's "enhanced capabilities" claim is contradicted by the data. Abliterix has the worst capability preservation by far. Full report with all tables and charts: [HuggingFace model card](https://huggingface.co/DreamFast/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark). ## The six models | Name | Type | |------|------| | Base | [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) | | Heretic | [llmfan46/Qwen3.6-27B-uncensored-heretic-v2](https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored-heretic-v2) | | HauhauCS | [HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive) | | Hu

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