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  Using llama.cpp commit [b5e9546](https://github.com/ggerganov/llama.cpp/commit/b5e95468b1676e1e5c9d80d1eeeb26f542a38f42) for quantization, featuring llama 3.1 rope scaling factors. This fixes low-quality issues when using 8-128k context lengths.
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- Original model: [https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct)
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  All quants were made using the imatrix option and Bartowski's [calibration file](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8).
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  Using llama.cpp commit [b5e9546](https://github.com/ggerganov/llama.cpp/commit/b5e95468b1676e1e5c9d80d1eeeb26f542a38f42) for quantization, featuring llama 3.1 rope scaling factors. This fixes low-quality issues when using 8-128k context lengths.
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+ Original model: https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct
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  All quants were made using the imatrix option and Bartowski's [calibration file](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8).
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