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son0fthematrix/qwen3-4b-thinking-2507-liberated-v7
qwen3-4b-thinking-2507-liberated-v7 is a machine learning model from son0fthematrix. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Abliterated + fine-tuned variant of Qwen/Qwen3-4B-Thinking-2507, produced with the open-source OBLITERATUS toolkit on a single RTX 5080 (16 GB).
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From the Hugging Face model README
Abliterated + fine-tuned variant of Qwen/Qwen3-4B-Thinking-2507, produced with the open-source OBLITERATUS toolkit on a single RTX 5080 (16 GB).
Qwen3-4B-Thinking-2507 (original)
└─ v2: surgical abliteration (advanced, 8 SVD directions, norm-preserving)
└─ v6: QLoRA SFT (QuixiAI/dolphin, 2000 samples, r=16)
└─ v7: DPO (unalignment/toxic-dpo-v0.2, 541 pairs, beta=0.1)
→ this model
| Model | Direct answer | Refusal |
|---|---|---|
| v2 (ablation only) | 10/12 | stalking, DDoS |
| this model (v7) | 11/12 | explosives only |
Knowledge and coding ability verified intact after every stage (perplexity ~3.4, coherent code generation, chain-of-thought preserved).
QuixiAI/dolphin (flan1m-alpaca-uncensored, Apache-2.0)unalignment/toxic-dpo-v0.2 (CC-BY-4.0)Research into refusal mechanisms and alignment transparency (mechanistic interpretability). This model has materially reduced refusal behavior; deploy responsibly and within applicable law. Residual caution remains for the most hazardous categories. Not evaluated on public benchmarks — treat capability metrics above as indicative smoke tests, not benchmark scores.
Complete run-by-run documentation (settings, fixes, metrics) is available in the run archive; the pipeline is fully reproducible from the scripts referenced there.