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--- |
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base_model: cloudyu/Yi-34Bx2-MoE-60B |
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license: cc-by-nc-4.0 |
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model_creator: cloudyu |
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model_name: Yi 34Bx2 MoE 60B |
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model_type: mistral |
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quantized_by: Second State Inc. |
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tags: |
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- moe |
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--- |
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<!-- header start --> |
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<div style="width: auto; margin-left: auto; margin-right: auto"> |
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;"> |
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<!-- header end --> |
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# Yi-34Bx2-MoE-60B-GGUF |
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## Original Model |
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[cloudyu/Yi-34Bx2-MoE-60B](https://huggingface.co/cloudyu/Yi-34Bx2-MoE-60B) |
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## Run with LlamaEdge |
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- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above |
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- Prompt template |
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- Prompt type: `chatml` |
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- Prompt string |
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```text |
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<|im_start|>system |
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{system_message}<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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- Reverse prompt: `<|im_end|>` |
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- Context size: `7168` |
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- Run as LlamaEdge service |
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```bash |
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-34Bx2-MoE-60B-Q5_K_M.gguf llama-api-server.wasm -p chatml -r '<|im_end|>' |
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``` |
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- Run as LlamaEdge command app |
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```bash |
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-34Bx2-MoE-60B-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>' |
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``` |
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## Quantized GGUF Models |
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| Name | Quant method | Bits | Size | Use case | |
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| ---- | ---- | ---- | ---- | ----- | |
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| [Yi-34Bx2-MoE-60B-Q2_K.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q2_K.gguf) | Q2_K | 2 | 22.4 GB| smallest, significant quality loss - not recommended for most purposes | |
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| [Yi-34Bx2-MoE-60B-Q3_K_L.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q3_K_L.gguf) | Q3_K_L | 3 | 31.8 GB| small, substantial quality loss | |
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| [Yi-34Bx2-MoE-60B-Q3_K_M.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q3_K_M.gguf) | Q3_K_M | 3 | 29.2 GB| very small, high quality loss | |
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| [Yi-34Bx2-MoE-60B-Q3_K_S.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q3_K_S.gguf) | Q3_K_S | 3 | 26.3 GB| very small, high quality loss | |
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| [Yi-34Bx2-MoE-60B-Q4_0.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q4_0.gguf) | Q4_0 | 4 | 34.3 GB| legacy; small, very high quality loss - prefer using Q3_K_M | |
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| [Yi-34Bx2-MoE-60B-Q4_K_M.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q4_K_M.gguf) | Q4_K_M | 4 | 36.7 GB| medium, balanced quality - recommended | |
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| [Yi-34Bx2-MoE-60B-Q4_K_S.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q4_K_S.gguf) | Q4_K_S | 4 | 34.6 GB| small, greater quality loss | |
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| [Yi-34Bx2-MoE-60B-Q5_0.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q5_0.gguf) | Q5_0 | 5 | 41.9 GB| legacy; medium, balanced quality - prefer using Q4_K_M | |
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| [Yi-34Bx2-MoE-60B-Q5_K_M.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q5_K_M.gguf) | Q5_K_M | 5 | 43.1 GB| large, very low quality loss - recommended | |
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| [Yi-34Bx2-MoE-60B-Q5_K_S.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q5_K_S.gguf) | Q5_K_S | 5 | 41.9 GB| large, low quality loss - recommended | |
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| [Yi-34Bx2-MoE-60B-Q6_K.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q6_K.gguf) | Q6_K | 6 | 49.9 GB| very large, extremely low quality loss | |
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