dranger003
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c4ai-command-r-plus-iMat.GGUF

Text Generation

Inference Endpoints

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dranger003 commited on Apr 9

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@@ -4,9 +4,11 @@ pipeline_tag: text-generation
 library_name: gguf
 base_model: CohereForAI/c4ai-command-r-plus
 ---
-**2024-04-09**: Support for this model has been merged into the main branch - [`PR #6491`](https://github.com/ggerganov/llama.cpp/pull/6491).
 Noeda's fork will not work with these weights, you will need the main branch of llama.cpp.
-I am currently running perplexity on all the quants posted here, and will update this model page with the results.
 * GGUF importance matrix (imatrix) quants for https://huggingface.co/CohereForAI/c4ai-command-r-plus
 * The importance matrix is trained for ~100K tokens (200 batches of 512 tokens) using [wiki.train.raw](https://huggingface.co/datasets/wikitext).

 library_name: gguf
 base_model: CohereForAI/c4ai-command-r-plus
 ---
+**2024-04-09**: Support for this model has been merged into the main branch.
+[Pull request `PR #6491`](https://github.com/ggerganov/llama.cpp/pull/6491)
+[Commit `5dc9dd71`](https://github.com/ggerganov/llama.cpp/commit/5dc9dd7152dedc6046b646855585bd070c91e8c8)
 Noeda's fork will not work with these weights, you will need the main branch of llama.cpp.
+Also, I am currently running perplexity on all the quants posted here, and will update this model page with the results.
 * GGUF importance matrix (imatrix) quants for https://huggingface.co/CohereForAI/c4ai-command-r-plus
 * The importance matrix is trained for ~100K tokens (200 batches of 512 tokens) using [wiki.train.raw](https://huggingface.co/datasets/wikitext).