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README.md
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# Quant Infos
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- Requires latest master + [Rope Scaling PR](https://github.com/ggerganov/llama.cpp/pull/8676)
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- Might not be perfect yet, but seems to mostly work, including 128k context.
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- quants done with an importance matrix for improved quantization loss
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- Quantized ggufs & imatrix from hf bf16, through bf16. `safetensors bf16 -> gguf bf16 -> quant` for *optimal* quant loss.
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# Quant Infos
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- Requires latest master + [Rope Scaling PR](https://github.com/ggerganov/llama.cpp/pull/8676)
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- ubergarm explained how to set up your llama.cpp here: https://huggingface.co/qwp4w3hyb/Meta-Llama-3.1-8B-Instruct-iMat-GGUF/discussions/1#66a26b63de4e162dd84c22c5
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- Might not be perfect yet, but seems to mostly work, including 128k context.
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- quants done with an importance matrix for improved quantization loss
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- Quantized ggufs & imatrix from hf bf16, through bf16. `safetensors bf16 -> gguf bf16 -> quant` for *optimal* quant loss.
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