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README.md
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license: llama3.1
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Llama 3.1 405B Quants
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- IQ1_S: 86.8 GB
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- IQ1_M: 95.1 GB
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- IQ2_XXS: 109.0 GB
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Quantization from BF16 here:
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https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/
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which is converted from Llama 3.1 405B:
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https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct
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llama.cpp version b3459. There is ongoing work in llama.cpp to support this model. If you use context = 8192 there are some reports that say this model works fine. If not, you can also try changing the Frequency Base as described in: https://www.reddit.com/r/LocalLLaMA/comments/1ectacp/until_the_rope_scaling_is_fixed_in_gguf_for/
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imatrix file https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/blob/main/405imatrix.dat
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Lmk if you need bigger quants.
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---
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license: llama3.1
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---
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Llama 3.1 405B Quants and llama.cpp versions that is used for quantization
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- IQ1_S: 86.8 GB b3459
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- IQ1_M: 95.1 GB b3459
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- IQ2_XXS: 109.0 GB b3459
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- IQ3_XXS: 157.7 GB b3484
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Quantization from BF16 here:
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https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/
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which is converted from Llama 3.1 405B:
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https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct
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imatrix file https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/blob/main/405imatrix.dat
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Lmk if you need bigger quants.
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