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@@ -15,6 +15,35 @@ This is an uncensored version of Llama 3.2 3B Instruct created with abliteration
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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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  ## Evaluations
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  The following data has been re-evaluated and calculated as the average for each test.
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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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+
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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-3.2-90B-Vision-Instruct model for reference.
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+ ```
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+ ollama run 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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+
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+
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+
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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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