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Vigogne-Instruct-13B-GGML

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@@ -28,7 +28,7 @@ GGML files are for CPU + GPU inference using [llama.cpp](https://github.com/gger
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  * [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/Vigogne-Instruct-13B-GPTQ)
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  * [4-bit, 5-bit, and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/Vigogne-Instruct-13B-GGML)
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- * [Original unquantised fp16 model in HF format](https://huggingface.co/bofenghuang/vigogne-instruct-13b)
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  ## THE FILES IN MAIN BRANCH REQUIRES LATEST LLAMA.CPP (May 19th 2023 - commit 2d5db48)!
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  * [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/Vigogne-Instruct-13B-GPTQ)
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  * [4-bit, 5-bit, and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/Vigogne-Instruct-13B-GGML)
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+ * [Unquantised fp16 model in HF format](https://huggingface.co/TheBloke/Vigogne-Instruct-13B-HF)
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  ## THE FILES IN MAIN BRANCH REQUIRES LATEST LLAMA.CPP (May 19th 2023 - commit 2d5db48)!
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