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b3a2320
auto-patch README.md
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README.md
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@@ -31,12 +31,26 @@ 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/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ2_M.gguf) | i1-IQ2_M | 34.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q2_K.gguf) | i1-Q2_K | 38.0 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 39.7 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 49.7 | IQ3_S probably better |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 58.7 | optimal size/speed/quality |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 62.0 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 84.8 | practically like static Q6_K |
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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/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ1_S.gguf) | i1-IQ1_S | 21.8 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ1_M.gguf) | i1-IQ1_M | 23.9 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 27.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 30.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ2_S.gguf) | i1-IQ2_S | 32.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ2_M.gguf) | i1-IQ2_M | 34.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q2_K.gguf) | i1-Q2_K | 38.0 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 39.7 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 42.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 44.6 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ3_S.gguf) | i1-IQ3_S | 44.7 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ3_M.gguf) | i1-IQ3_M | 46.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 49.7 | IQ3_S probably better |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 54.2 | IQ3_M probably better |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 55.2 | |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 58.4 | fast, low quality |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 58.7 | optimal size/speed/quality |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 62.0 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 71.1 | |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 73.0 | |
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| [PART 1](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Deep-Miqu-103B-i1-GGUF/resolve/main/Deep-Miqu-103B.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 84.8 | practically like static Q6_K |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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