Triangle104
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README.md
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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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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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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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The following data has been re-evaluated and calculated as the average for each test.
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Benchmark
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Llama-3.2-3B-Instruct - Llama-3.2-3B-Instruct-abliterated
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IF_Eval
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76.55 - 76.76
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MMLU Pro
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27.88 - 28.00
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TruthfulQA
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50.55 - 50.73
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BBH
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41.81 - 41.86
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GPQA
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28.39 - 28.41
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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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