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knoveleng/Llama-3.2-3B-Instruct-Uncensored
Llama-3.2-3B-Instruct-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 meta-llama/Llama-3.2-3B-Instruct, produced with orthex — an implementation of the technique from Arditi et al., "Refusal in Language Models Is Med…
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From the Hugging Face model README
This model is a weight-level orthogonalized ("abliterated") version of meta-llama/Llama-3.2-3B-Instruct, produced with orthex — an implementation of the technique from Arditi et al., "Refusal in Language Models Is Mediated by a Single Direction" (NeurIPS 2024).
llamaresid_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 | 0.781 | 0.188 | -0.594 |
| perplexity | 18.494 | 21.785 | 3.291 |
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 meta-llama/Llama-3.2-3B-Instruct's license allows.
Not set automatically — inherits obligations from the base model meta-llama/Llama-3.2-3B-Instruct's license; set this field explicitly before publishing.