mradermacher
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auto-patch README.md
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README.md
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@@ -37,10 +37,14 @@ more details, including on how to concatenate multi-part files.
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q3_K_S.gguf) | Q3_K_S | 4.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q3_K_M.gguf) | Q3_K_M | 4.5 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q3_K_L.gguf) | Q3_K_L | 4.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q4_K_S.gguf) | Q4_K_S | 5.2 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q4_K_M.gguf) | Q4_K_M | 5.5 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q6_K.gguf) | Q6_K | 7.5 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q8_0.gguf) | Q8_0 | 9.7 | 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/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q3_K_S.gguf) | Q3_K_S | 4.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q3_K_M.gguf) | Q3_K_M | 4.5 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q3_K_L.gguf) | Q3_K_L | 4.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.IQ4_XS.gguf) | IQ4_XS | 5.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q4_K_S.gguf) | Q4_K_S | 5.2 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q4_K_M.gguf) | Q4_K_M | 5.5 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q5_K_S.gguf) | Q5_K_S | 6.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q5_K_M.gguf) | Q5_K_M | 6.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q6_K.gguf) | Q6_K | 7.5 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.Q8_0.gguf) | Q8_0 | 9.7 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Infinite-Laymons-9B-GGUF/resolve/main/Infinite-Laymons-9B.f16.gguf) | f16 | 18.1 | 16 bpw, overkill |
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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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