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knoveleng/Qwen3.5-4B-Uncensored
Qwen3.5-4B-Uncensored is a machine learning model from knoveleng. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a weight-level orthogonalized ("abliterated") version of Qwen/Qwen3.5-4B, produced with orthex — an implementation of the technique from Arditi et al., "Refusal in Language Models Is Mediated by a Single…
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From the Hugging Face model README
This model is a weight-level orthogonalized ("abliterated") version of Qwen/Qwen3.5-4B, produced with orthex — an implementation of the technique from Arditi et al., "Refusal in Language Models Is Mediated by a Single Direction" (NeurIPS 2024).
qwen3_5resid_preembed_tokens, and every layer's attn_out and mlp_out — orthogonalized in place in the weights (not a runtime hook; this checkpoint behaves this way standalone, with no orthex dependency at inference time)| metric | pre | post | delta |
|---|---|---|---|
| refusal rate | 0.969 | 0.000 | -0.969 |
| perplexity | 11.211 | 11.248 | 0.037 |
See evaluation_report.json in this repo for the full per-prompt breakdown (refusal_samples) and the ranked candidate list considered during selection (selection_report).
This model has had refusal behavior removed and may comply with requests the base model would normally decline. It is intended for red-teaming, robustness research, and model-behavior analysis. Usage remains subject to the base model's original license and usage policy — this repo does not grant any additional rights beyond what Qwen/Qwen3.5-4B's license allows.
Not set automatically — inherits obligations from the base model Qwen/Qwen3.5-4B's license; set this field explicitly before publishing.