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