mradermacher
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DeepICD-R1-zero-32B-GGUF

Reinforcement Learning

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mradermacher commited on 19 days ago

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@@ -52,6 +52,7 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/DeepICD-R1-zero-32B-GGUF/resolve/main/DeepICD-R1-zero-32B.Q4_K_M.gguf) | Q4_K_M | 20.0 | fast, recommended |
 | [GGUF](https://huggingface.co/mradermacher/DeepICD-R1-zero-32B-GGUF/resolve/main/DeepICD-R1-zero-32B.Q5_K_S.gguf) | Q5_K_S | 22.7 |  |
 | [GGUF](https://huggingface.co/mradermacher/DeepICD-R1-zero-32B-GGUF/resolve/main/DeepICD-R1-zero-32B.Q6_K.gguf) | Q6_K | 27.0 | very good quality |
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):

 | [GGUF](https://huggingface.co/mradermacher/DeepICD-R1-zero-32B-GGUF/resolve/main/DeepICD-R1-zero-32B.Q4_K_M.gguf) | Q4_K_M | 20.0 | fast, recommended |
 | [GGUF](https://huggingface.co/mradermacher/DeepICD-R1-zero-32B-GGUF/resolve/main/DeepICD-R1-zero-32B.Q5_K_S.gguf) | Q5_K_S | 22.7 |  |
 | [GGUF](https://huggingface.co/mradermacher/DeepICD-R1-zero-32B-GGUF/resolve/main/DeepICD-R1-zero-32B.Q6_K.gguf) | Q6_K | 27.0 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/DeepICD-R1-zero-32B-GGUF/resolve/main/DeepICD-R1-zero-32B.Q8_0.gguf) | Q8_0 | 34.9 | fast, best quality |
 Here is a handy graph by ikawrakow comparing some lower-quality quant
 types (lower is better):