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mradermacher
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OpenMath-CodeLlama-7b-Python-hf-GGUF

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GGUF
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nvidia
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math
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auto-patch README.md

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  1. README.md +7 -0
README.md CHANGED
@@ -36,7 +36,14 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
37
  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q2_K.gguf) | Q2_K | 2.6 | |
 
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended |
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
42
  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.f16.gguf) | f16 | 13.6 | 16 bpw, overkill |
 
36
  | Link | Type | Size/GB | Notes |
37
  |:-----|:-----|--------:|:------|
38
  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q2_K.gguf) | Q2_K | 2.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q3_K_S.gguf) | Q3_K_S | 3.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q3_K_L.gguf) | Q3_K_L | 3.7 | |
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+ | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.IQ4_XS.gguf) | IQ4_XS | 3.7 | |
43
  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended |
44
+ | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q4_K_M.gguf) | Q4_K_M | 4.2 | fast, recommended |
45
+ | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q5_K_S.gguf) | Q5_K_S | 4.8 | |
46
+ | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q5_K_M.gguf) | Q5_K_M | 4.9 | |
47
  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
48
  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
49
  | [GGUF](https://huggingface.co/mradermacher/OpenMath-CodeLlama-7b-Python-hf-GGUF/resolve/main/OpenMath-CodeLlama-7b-Python-hf.f16.gguf) | f16 | 13.6 | 16 bpw, overkill |