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  This model was converted to GGUF format from [`huihui-ai/Llama-3.2-3B-Instruct-abliterated`](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) for more details on the model.
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  ## Use with llama.cpp
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  Install llama.cpp through brew (works on Mac and Linux)
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  This model was converted to GGUF format from [`huihui-ai/Llama-3.2-3B-Instruct-abliterated`](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) for more details on the model.
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+ ---
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+ Model details:
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+ -
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+ This is an uncensored version of Llama 3.2 3B Instruct created with abliteration (see this article to know more about it).
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+
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+ Special thanks to @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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+
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+ The following data has been re-evaluated and calculated as the average for each test.
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+
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+ Benchmark
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+ -
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+ Llama-3.2-3B-Instruct - Llama-3.2-3B-Instruct-abliterated
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+
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+ IF_Eval
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+ -
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+ 76.55 - 76.76
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+
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+ MMLU Pro
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+ -
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+ 27.88 - 28.00
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+
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+ TruthfulQA
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+ -
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+ 50.55 - 50.73
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+
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+ BBH
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+ -
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+ 41.81 - 41.86
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+
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+ GPQA
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+ -
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+ 28.39 - 28.41
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+
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+ ---
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  ## Use with llama.cpp
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  Install llama.cpp through brew (works on Mac and Linux)
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