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c4ai-command-r-plus-iMat.GGUF

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@@ -7,8 +7,6 @@ base_model: CohereForAI/c4ai-command-r-plus
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  **2024-04-05**: Support for this model is still being worked on - [`PR#6491`](https://github.com/ggerganov/llama.cpp/pull/6491).
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  For now, you can test the model using this fork: [https://github.com/dranger003/llama.cpp/tree/Noeda/commandr-plus](https://github.com/dranger003/llama.cpp/tree/Noeda/commandr-plus)
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- **<u>NOTE</u>**: There may be a need to re-quantize all the weights once support for this model is finalized.
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  * GGUF importance matrix (imatrix) quants for https://huggingface.co/CohereForAI/c4ai-command-r-plus
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  * The importance matrix was trained for ~100K tokens (200 batches of 512 tokens) using [wiki.train.raw](https://huggingface.co/datasets/wikitext).
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  * [Which GGUF is right for me? (from Artefact2)](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)
 
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  **2024-04-05**: Support for this model is still being worked on - [`PR#6491`](https://github.com/ggerganov/llama.cpp/pull/6491).
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  For now, you can test the model using this fork: [https://github.com/dranger003/llama.cpp/tree/Noeda/commandr-plus](https://github.com/dranger003/llama.cpp/tree/Noeda/commandr-plus)
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  * GGUF importance matrix (imatrix) quants for https://huggingface.co/CohereForAI/c4ai-command-r-plus
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  * The importance matrix was trained for ~100K tokens (200 batches of 512 tokens) using [wiki.train.raw](https://huggingface.co/datasets/wikitext).
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  * [Which GGUF is right for me? (from Artefact2)](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)