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auto-patch README.md

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@@ -40,14 +40,13 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.IQ4_XS.gguf) | IQ4_XS | 18.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q4_0.gguf) | Q4_0 | 19.5 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q4_K_S.gguf) | Q4_K_S | 19.6 | fast, recommended |
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- | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.IQ4_NL.gguf) | IQ4_NL | 19.6 | slightly worse than Q4_K_S |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q4_K_M.gguf) | Q4_K_M | 20.6 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q5_K_S.gguf) | Q5_K_S | 23.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q5_K_M.gguf) | Q5_K_M | 24.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q6_K.gguf) | Q6_K | 28.1 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q8_0.gguf) | Q8_0 | 36.2 | fast, best quality |
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-
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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/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.IQ4_XS.gguf) | IQ4_XS | 18.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q4_0.gguf) | Q4_0 | 19.5 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q4_K_S.gguf) | Q4_K_S | 19.6 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.IQ4_NL.gguf) | IQ4_NL | 19.6 | prefer IQ4_XS |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q4_K_M.gguf) | Q4_K_M | 20.6 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q5_K_S.gguf) | Q5_K_S | 23.6 | |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q5_K_M.gguf) | Q5_K_M | 24.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q6_K.gguf) | Q6_K | 28.1 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-Codefuse-34B-GGUF/resolve/main/Phind-Codefuse-34B.Q8_0.gguf) | Q8_0 | 36.2 | 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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