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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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- TruthfulQA
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- -
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- 50.55 - 50.73
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- BBH
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- -
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- 41.81 - 41.86
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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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  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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