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auto-patch README.md
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README.md
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@@ -29,8 +29,19 @@ more details, including on how to concatenate multi-part files.
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| Link | Type | Size/GB | Notes |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.IQ3_S.gguf) | IQ3_S | 27.2 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q4_K_S.gguf) | Q4_K_S | 35.5 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q8_0.gguf.part2of2) | Q8_0 | 66.0 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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| Link | Type | Size/GB | Notes |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q2_K.gguf) | Q2_K | 23.3 | |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.IQ3_XS.gguf) | IQ3_XS | 25.8 | |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q3_K_S.gguf) | Q3_K_S | 27.2 | |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.IQ3_S.gguf) | IQ3_S | 27.2 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.IQ3_M.gguf) | IQ3_M | 28.1 | |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q3_K_M.gguf) | Q3_K_M | 30.2 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q3_K_L.gguf) | Q3_K_L | 32.8 | |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.IQ4_XS.gguf) | IQ4_XS | 33.7 | |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q4_K_S.gguf) | Q4_K_S | 35.5 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q4_K_M.gguf) | Q4_K_M | 37.4 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q5_K_S.gguf) | Q5_K_S | 42.9 | |
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| [GGUF](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q5_K_M.gguf) | Q5_K_M | 44.0 | |
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| [PART 1](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q6_K.gguf.part2of2) | Q6_K | 51.0 | very good quality |
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| [PART 1](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/nyun-c1-llama3-62B-GGUF/resolve/main/nyun-c1-llama3-62B.Q8_0.gguf.part2of2) | Q8_0 | 66.0 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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