53 lines
1.3 KiB
Markdown
53 lines
1.3 KiB
Markdown
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---
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license: apache-2.0
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base_model: microsoft/Phi-4-mini-instruct
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tags:
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- uncensored
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- abliterated
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- gguf
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- phi
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- conversational
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pipeline_tag: text-generation
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---
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# phi-4-mini-uncensored
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Uncensored variant of [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct).
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## Method
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1. **Abliteration** (strength=0.2) — refusal direction removed from all layers
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2. **LoRA fine-tune** on `Guilherme34/uncensor` (2 epochs, r=16, alpha=32)
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3. **Re-abliteration** (strength=0.35) — stronger pass to remove residual refusals
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## Eval Results
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| Split | Refused |
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|-------|---------|
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| Harmful (64 prompts) | 0/64 |
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| Harmless (64 prompts) | 0/64 |
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## Usage
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```bash
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llama-cli -m phi_4_mini_uncensored.Q4_K_M.gguf -p "Your prompt here"
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```
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## Training Config
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| Parameter | Value |
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|-----------|-------|
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| Base Model | microsoft/Phi-4-mini-instruct |
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| Fine-tune Dataset | Guilherme34/uncensor |
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| Epochs | 2 |
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| LoRA r | 16 |
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| LoRA alpha | 32 |
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| Learning Rate | 0.0002 |
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| Abliteration Strength | 0.2 |
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| Re-abliteration Strength | 0.35 |
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## Credits
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- Abliteration technique: [andyrdt/refusal_direction](https://github.com/andyrdt/refusal_direction)
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- Weight editing: [Sumandora/remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers)
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