0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF
text-generation model by 0bserverx
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Model card & documentation
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RVN is a double-refined abliterated variant of Qwen3.8-27B, built on top of trohrbaugh/Qwen3.8-27B-heretic-ara (an ARA abliteration by Tim Rohrbaugh) and further refined with two additional full-weight ARA passes targeting residual refusals. It retains very low behavioral damage (KL ≈ 0.0085) while reducing harmful-prompt refusals from 3/100 (source) to 0–1/100 in independent measurements. ARA (Arbitrary-Rank Ablation) is the abliteration technique implemented in p-e-w/heretic. Traditional directional abliteration finds a single "refusal direction" in activation space and subtracts it — a one-shot, low-rank surgery that is simple but can leave residual refusals or damage unrelated behavior. ARA instead treats abliteration as a matrix optimization problem. For every target module (attention out-projection and MLP down-projection), it collects activations on "good" prompts (harmless requests) and "bad" prompts (harmful requests), then uses an LBFGS optimizer to rewrite the module's weight matrix so that: (via k-nearest-neighbor distances), so harmful requests stop triggering the refusal circuitry original bad-prompt…
Read the full model card ↗ · Preview checked 2026-10-29T13:03:30.546Z
Inside the original model card — Document outline
- Qwen3.8-27B RVN Heretic Abliterated Uncensored (GGUF)
- What is ARA?
- Why "Heretic" and "Abliterated"?
- Special Thanks
- Model Overview
- Why RVN?
- Refusal evaluation (100 harmful-behaviors prompts, prefix-forced real answers)
- Which file should I download?
- Quick picks
- The valid filename families
- What the names mean
- Quant label legend
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Model overview
0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF is a text-generation model repository published by 0bserverx on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 1,151,968
- Cumulative likes
- 812
- Hugging Face trending score
- 41
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-08-14T18:48:26.000Z
- Last modified
- 2026-09-20T13:42:25.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.8-27B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:29.042Z. Daily imports are snapshots, not real-time monitoring.
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