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mradermacher
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Mistral-Math-2x7b-mix-GGUF

Transformers
GGUF
English
Mixture of Experts
frankenmoe
Merge
mergekit
lazymergekit
mistralai/Mistral-7B-Instruct-v0.2
meta-math/MetaMath-Mistral-7B
Inference Endpoints
conversational
Model card Files Community
mradermacher commited on
Commit
58455e1
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1 Parent(s): b3948f1

auto-patch README.md

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  1. README.md +6 -0
README.md CHANGED
@@ -40,7 +40,13 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q2_K.gguf) | Q2_K | 4.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q3_K_S.gguf) | Q3_K_S | 5.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q3_K_M.gguf) | Q3_K_M | 6.3 | lower quality |
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q4_K_S.gguf) | Q4_K_S | 7.4 | fast, recommended |
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q6_K.gguf) | Q6_K | 10.7 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q8_0.gguf) | Q8_0 | 13.8 | fast, best quality |
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q2_K.gguf) | Q2_K | 4.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q3_K_S.gguf) | Q3_K_S | 5.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q3_K_M.gguf) | Q3_K_M | 6.3 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q3_K_L.gguf) | Q3_K_L | 6.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.IQ4_XS.gguf) | IQ4_XS | 7.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q4_0_4_4.gguf) | Q4_0_4_4 | 7.4 | fast on arm, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q4_K_S.gguf) | Q4_K_S | 7.4 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q4_K_M.gguf) | Q4_K_M | 7.9 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q5_K_S.gguf) | Q5_K_S | 9.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q5_K_M.gguf) | Q5_K_M | 9.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q6_K.gguf) | Q6_K | 10.7 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Mistral-Math-2x7b-mix-GGUF/resolve/main/Mistral-Math-2x7b-mix.Q8_0.gguf) | Q8_0 | 13.8 | fast, best quality |
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