draw845/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-oQ8
image-text-to-text model by draw845
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A decensored ("abliterated") version of Google's Gemma 4 E4B QAT-Q40 unquantized checkpoint, produced with Heretic using Arbitrary-Rank Ablation (LoRA) with chain-of-thought-aware evaluation. Gemma 4 is a thinking model — its refusal decision forms inside the chain-of-thought, so a naive abliteration (evaluated without thinking) leaves the model refusing once thinking is enabled (the default in Ollama / llama.cpp). This release is abliterated and evaluated with thinking on, scoring the final answer after the thought block, so it decensors the model the way it's actually used. The ARA-LoRA method reaches this decensoring at far lower KL than single-direction abliteration (≈6× lower for comparable results), preserving more of the base model's capability. The model complies with the overwhelming majority of requests in normal use; only a small fraction of extreme prompts may still be refused. The thinking trace may still contain caveats even when the final…
Read the full model card ↗ · Preview checked 2026-10-30T07:55:26.913Z
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Model overview
draw845/gemma-4-E4B-it-qat-q4_0-unquantized-heretic-oQ8 is a image-text-to-text model repository published by draw845 on Hugging Face. The source reports the transformers library.
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Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 7,941,100,874
- Architecture
- Gemma4ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-21T06:22:07.000Z
- Last modified
- 2026-10-21T06:23:25.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/gemma-4-E4B-it-qat-q4_0-unquantized
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.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-21T06:44:13.178Z. Daily imports are snapshots, not real-time monitoring.
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