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--- |
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library_name: transformers |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-3B-Instruct |
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tags: |
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- abliterated |
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- uncensored |
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--- |
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# 🦙 Llama-3.2-3B-Instruct-abliterated |
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This is an uncensored version of Llama 3.2 3B Instruct created with abliteration (see [this article](https://huggingface.co/blog/mlabonne/abliteration) to know more about it). |
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Special thanks to [@FailSpy](https://huggingface.co/failspy) for the original code and technique. Please follow him if you're interested in abliterated models. |
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## ollama |
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1. Download this model. |
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``` |
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huggingface-cli download huihui-ai/Llama-3.2-3B-Instruct-abliterated --local-dir ./huihui-ai/Llama-3.2-3B-Instruct-abliterated |
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``` |
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2. Get Llama-3.2-3B-Instruct model for reference. |
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``` |
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ollama pull llama3.2 |
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``` |
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3. Export Llama-3.2-3B-Instruct model parameters. |
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``` |
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ollama show llama3.2 --modelfile > Modelfile |
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``` |
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4. Modify Modelfile, Remove all comment lines (indicated by #) before the "FROM" keyword. Replace the "FROM" with the following content. |
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``` |
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FROM huihui-ai/Llama-3.2-3B-Instruct-abliterated |
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``` |
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5. Use ollama create to then create the quantized model. |
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``` |
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ollama create --quantize q4_K_M -f Modelfile Llama-3.2-3B-Instruct-abliterated-q4_K_M |
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``` |
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6. Run model |
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``` |
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ollama run Llama-3.2-3B-Instruct-abliterated-q4_K_M |
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``` |
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The running architecture is llama. |
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## Evaluations |
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The following data has been re-evaluated and calculated as the average for each test. |
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| Benchmark | Llama-3.2-3B-Instruct | Llama-3.2-3B-Instruct-abliterated | |
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|-------------|-----------------------|-----------------------------------| |
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| IF_Eval | 76.55 | **76.76** | |
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| MMLU Pro | 27.88 | **28.00** | |
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| TruthfulQA | 50.55 | **50.73** | |
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| BBH | 41.81 | **41.86** | |
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| GPQA | 28.39 | **28.41** | |
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The script used for evaluation can be found inside this repository under /eval.sh, or click [here](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated/blob/main/eval.sh) |
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