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MedLLaMA-Vicuna-13B-Slerp-GGUF

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GGUF
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chaoyi-wu/MedLLaMA_13B
lmsys/vicuna-13b-v1.3
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@@ -48,7 +48,6 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/MedLLaMA-Vicuna-13B-Slerp-GGUF/resolve/main/MedLLaMA-Vicuna-13B-Slerp.Q6_K.gguf) | Q6_K | 10.8 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/MedLLaMA-Vicuna-13B-Slerp-GGUF/resolve/main/MedLLaMA-Vicuna-13B-Slerp.Q8_0.gguf) | Q8_0 | 13.9 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):
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  | [GGUF](https://huggingface.co/mradermacher/MedLLaMA-Vicuna-13B-Slerp-GGUF/resolve/main/MedLLaMA-Vicuna-13B-Slerp.Q6_K.gguf) | Q6_K | 10.8 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/MedLLaMA-Vicuna-13B-Slerp-GGUF/resolve/main/MedLLaMA-Vicuna-13B-Slerp.Q8_0.gguf) | Q8_0 | 13.9 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):
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