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Yi-34Bx2-MoE-60B-GGUF

Transformers
GGUF
English
yi
Mixture of Experts
Inference Endpoints
conversational
Model card Files Community
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@@ -39,8 +39,11 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.IQ3_S.gguf) | IQ3_S | 26.5 | beats Q3_K* |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.IQ3_M.gguf) | IQ3_M | 27.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q3_K_M.gguf) | Q3_K_M | 29.3 | lower quality |
 
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q4_K_S.gguf) | Q4_K_S | 34.7 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q4_K_M.gguf) | Q4_K_M | 36.8 | fast, recommended |
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q6_K.gguf) | Q6_K | 50.0 | very good quality |
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  | [PART 1](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q8_0.gguf.part2of2) | Q8_0 | 64.7 | fast, best quality |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.IQ3_S.gguf) | IQ3_S | 26.5 | beats Q3_K* |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.IQ3_M.gguf) | IQ3_M | 27.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q3_K_M.gguf) | Q3_K_M | 29.3 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q3_K_L.gguf) | Q3_K_L | 31.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q4_K_S.gguf) | Q4_K_S | 34.7 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q4_K_M.gguf) | Q4_K_M | 36.8 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q5_K_S.gguf) | Q5_K_S | 42.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q5_K_M.gguf) | Q5_K_M | 43.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q6_K.gguf) | Q6_K | 50.0 | very good quality |
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  | [PART 1](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Yi-34Bx2-MoE-60B-GGUF/resolve/main/Yi-34Bx2-MoE-60B.Q8_0.gguf.part2of2) | Q8_0 | 64.7 | fast, best quality |
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