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Update README.md
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README.md
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library_name: gguf
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base_model: CohereForAI/c4ai-command-r-v01
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* GGUF importance matrix (imatrix) quants for https://huggingface.co/CohereForAI/c4ai-command-r-v01
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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? (Opinionated, from Artefact2)](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)
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**NOTE**: This is a preview of upcoming [PR#6033](https://github.com/ggerganov/llama.cpp/pull/6033).
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> C4AI Command-R is a research release of a 35 billion parameter highly performant generative model. Command-R is a large language model with open weights optimized for a variety of use cases including reasoning, summarization, and question answering. Command-R has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities.
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| Layers | Context | [Template](https://huggingface.co/CohereForAI/c4ai-command-r-v01#model-summary) |
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library_name: gguf
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base_model: CohereForAI/c4ai-command-r-v01
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---
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**NOTE**: This is a preview of upcoming [PR#6033](https://github.com/ggerganov/llama.cpp/pull/6033).
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* GGUF importance matrix (imatrix) quants for https://huggingface.co/CohereForAI/c4ai-command-r-v01
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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? (Opinionated, from Artefact2)](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)
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> C4AI Command-R is a research release of a 35 billion parameter highly performant generative model. Command-R is a large language model with open weights optimized for a variety of use cases including reasoning, summarization, and question answering. Command-R has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities.
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| Layers | Context | [Template](https://huggingface.co/CohereForAI/c4ai-command-r-v01#model-summary) |
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