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OpenMath-CodeLlama-13b-Python-hf-GGUF

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@@ -22,7 +22,7 @@ tags:
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  static quants of https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python-hf
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  <!-- provided-files -->
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- weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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  ## Usage
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  If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -39,9 +39,11 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q3_K_S.gguf) | Q3_K_S | 5.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q3_K_M.gguf) | Q3_K_M | 6.4 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q3_K_L.gguf) | Q3_K_L | 7.0 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q4_K_S.gguf) | Q4_K_S | 7.5 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q4_K_M.gguf) | Q4_K_M | 8.0 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q5_K_S.gguf) | Q5_K_S | 9.1 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q6_K.gguf) | Q6_K | 10.8 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q8_0.gguf) | Q8_0 | 13.9 | fast, best quality |
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  static quants of https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python-hf
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  <!-- provided-files -->
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-i1-GGUF
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  ## Usage
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  If you are unsure how to use GGUF files, refer to one of [TheBloke's
 
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q3_K_S.gguf) | Q3_K_S | 5.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q3_K_M.gguf) | Q3_K_M | 6.4 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q3_K_L.gguf) | Q3_K_L | 7.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.IQ4_XS.gguf) | IQ4_XS | 7.1 | |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q4_K_S.gguf) | Q4_K_S | 7.5 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q4_K_M.gguf) | Q4_K_M | 8.0 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q5_K_S.gguf) | Q5_K_S | 9.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q5_K_M.gguf) | Q5_K_M | 9.3 | |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q6_K.gguf) | Q6_K | 10.8 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-13b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-13b-Python-hf.Q8_0.gguf) | Q8_0 | 13.9 | fast, best quality |
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