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072acc6
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Parent(s):
fc28c9b
auto-patch README.md
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README.md
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@@ -32,7 +32,15 @@ more details, including on how to concatenate multi-part files.
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q2_K.gguf) | Q2_K | 4.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q3_K_S.gguf) | Q3_K_S | 5.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended |
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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/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q2_K.gguf) | Q2_K | 4.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q3_K_S.gguf) | Q3_K_S | 5.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q3_K_L.gguf) | Q3_K_L | 6.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.IQ4_XS.gguf) | IQ4_XS | 6.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q4_0_4_4.gguf) | Q4_0_4_4 | 7.2 | fast on arm, low quality |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q4_K_M.gguf) | Q4_K_M | 7.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q5_K_S.gguf) | Q5_K_S | 8.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q5_K_M.gguf) | Q5_K_M | 8.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q6_K.gguf) | Q6_K | 10.2 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-GGUF/resolve/main/Mistral-Nemo-12B-ArliAI-RPMax-v1.3.Q8_0.gguf) | Q8_0 | 13.1 | 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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