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auto-patch README.md
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README.md
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@@ -31,13 +31,30 @@ 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/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ2_M.gguf) | i1-IQ2_M | 4.5 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.0 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.2 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.2 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q6_K.gguf) | i1-Q6_K | 10.2 | 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/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ1_S.gguf) | i1-IQ1_S | 3.1 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.7 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ2_S.gguf) | i1-IQ2_S | 4.2 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ2_M.gguf) | i1-IQ2_M | 4.5 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.6 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.0 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.4 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.6 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ3_S.gguf) | i1-IQ3_S | 5.7 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.2 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.7 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.8 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 7.2 | fast on arm, low quality |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 7.2 | fast on arm+i8mm, low quality |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 7.2 | fast on arm+sve, low quality |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q4_0.gguf) | i1-Q4_0 | 7.2 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.2 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.6 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.8 | |
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| [GGUF](https://huggingface.co/mradermacher/MN-Chinofun-12B-3-i1-GGUF/resolve/main/MN-Chinofun-12B-3.i1-Q6_K.gguf) | i1-Q6_K | 10.2 | 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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