auto-patch README.md
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README.md
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@@ -39,6 +39,18 @@ more details, including on how to concatenate multi-part files.
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.mmproj-f16.gguf) | mmproj-f16 | 1.4 | multi-modal supplement |
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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/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.mmproj-f16.gguf) | mmproj-f16 | 1.4 | multi-modal supplement |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.Q2_K.gguf) | Q2_K | 1.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.Q3_K_S.gguf) | Q3_K_S | 1.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.Q3_K_M.gguf) | Q3_K_M | 1.8 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.Q3_K_L.gguf) | Q3_K_L | 1.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.IQ4_XS.gguf) | IQ4_XS | 2.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.Q4_K_S.gguf) | Q4_K_S | 2.1 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.Q4_K_M.gguf) | Q4_K_M | 2.2 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.Q5_K_S.gguf) | Q5_K_S | 2.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.Q5_K_M.gguf) | Q5_K_M | 2.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.Q6_K.gguf) | Q6_K | 2.9 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.Q8_0.gguf) | Q8_0 | 3.7 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Fine-R1-3B-Final-Model-GGUF/resolve/main/Fine-R1-3B-Final-Model.f16.gguf) | f16 | 6.9 | 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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