Update README.md

README.md

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 <p style="text-align: center;"><a href="https://www.reddit.com/r/LLM_Quants/">Request Additional models at r/LLM_Quants.</a></p>
 
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-# C4ai Command R Plus 107B
+# C4ai Command R Plus 104B
 - **Creator:** [CohereForAI](https://huggingface.co/CohereForAI/)
-- **Original:** [C4ai Command R Plus 107B](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
+- **Original:** [C4ai Command R Plus 104B](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
 - **Date Created:** 2024-04-03
 - **Trained Context:** 8192 tokens
-- **Description:** Research release of a 107 billion parameter highly performant generative model optimized for reasoning, summarization, and question answering. Command-R supports multilingual generation in 10 languages and has RAG capabilities.
+- **Description:** Research release of a 104 billion parameter highly performant generative model optimized for reasoning, summarization, and question answering. Command-R supports multilingual generation in 10 languages and has RAG capabilities.
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 ## What is a GGUF?
 GGUF is a large language model (LLM) format that can be split between CPU and GPU. GGUFs are compatible with applications based on llama.cpp, such as Backyard AI. Where other model formats require higher end GPUs with ample VRAM, GGUFs can be efficiently run on a wider variety of hardware.