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@@ -7,7 +7,7 @@ library_name: gguf
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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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  * The [imatrix is being used on the K-quants](https://github.com/ggerganov/llama.cpp/pull/4930) as well.
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- **NOTE**: The new IQ3_M/IQ3_S (and updated Q3_K_XS) quants have been added, as well as IQ2_S/IQ2_M.
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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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  | --- | --- | --- |
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  | <pre>32</pre> | <pre>32768</pre> | <pre>\<s\>[INST] {prompt} [/INST]<br>{response}</pre> |
 
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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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  * The [imatrix is being used on the K-quants](https://github.com/ggerganov/llama.cpp/pull/4930) as well.
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+ **NOTE**: The new IQ3_M/IQ3_S (and updated Q3_K_XS) quants have been added, as well as IQ2_S/IQ2_M (requires commit a33e6a0d).
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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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  | --- | --- | --- |
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  | <pre>32</pre> | <pre>32768</pre> | <pre>\<s\>[INST] {prompt} [/INST]<br>{response}</pre> |