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README.md
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GGUF importance matrix (imatrix) quants for https://huggingface.co/abacusai/Smaug-Mixtral-v0.1
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The importance matrix was trained for ~50K tokens (105 batches of 512 tokens) using a [general purpose imatrix calibration dataset](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384).
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**NOTE**: The new IQ3_M/IQ3_S/Q3_K_XS quants are currently causing a segfault during quantization, so I'll upload them once llama.cpp gets fixed.
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| Layers | Context | [Template](https://huggingface.co/abacusai/Smaug-Mixtral-v0.1/blob/main/tokenizer_config.json#L32) |
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| <pre>32</pre> | <pre>32768</pre> | <pre>\<s\>[INST] {prompt} [/INST]<br>{response}</pre> |
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GGUF importance matrix (imatrix) quants for https://huggingface.co/abacusai/Smaug-Mixtral-v0.1
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The importance matrix was trained for ~50K tokens (105 batches of 512 tokens) using a [general purpose imatrix calibration dataset](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384).
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**NOTE**: The new IQ3_M/IQ3_S/Q3_K_XS quants are currently causing a segfault during quantization, so I'll upload them once llama.cpp gets fixed. The imatrix is being used on the K-quants as well.
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| Layers | Context | [Template](https://huggingface.co/abacusai/Smaug-Mixtral-v0.1/blob/main/tokenizer_config.json#L32) |
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| <pre>32</pre> | <pre>32768</pre> | <pre>\<s\>[INST] {prompt} [/INST]<br>{response}</pre> |
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