---
base_model: cloudyu/Yi-34Bx2-MoE-60B
license: cc-by-nc-4.0
model_creator: cloudyu
model_name: Yi 34Bx2 MoE 60B
model_type: mistral
quantized_by: Second State Inc.
tags:
- moe
---

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# Yi-34Bx2-MoE-60B-GGUF

## Original Model

[cloudyu/Yi-34Bx2-MoE-60B](https://huggingface.co/cloudyu/Yi-34Bx2-MoE-60B)

## Run with LlamaEdge

- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above

- Prompt template

  - Prompt type: `chatml`

  - Prompt string

    ```text
    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    ```

  - Reverse prompt: `<|im_end|>`

- Context size: `7168`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-34Bx2-MoE-60B-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template chatml \
    --reverse-prompt '<|im_end|>' \
    --ctx-size 7168 \
    --model-name Yi-34Bx2-MoE-60B
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-34Bx2-MoE-60B-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --reverse-prompt '<|im_end|>' \
    --ctx-size 7168
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [Yi-34Bx2-MoE-60B-Q8_0-00001-of-00003.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q8_0-00001-of-00003.gguf)     | Q8_0   | 8 | 32.2 GB| very large, extremely low quality loss - not recommended |
| [Yi-34Bx2-MoE-60B-Q8_0-00002-of-00003.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q8_0-00002-of-00003.gguf)     | Q8_0   | 8 | 32.1 GB| very large, extremely low quality loss - not recommended |
| [Yi-34Bx2-MoE-60B-Q8_0-00001-of-00003.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-Q8_0-00003-of-00003.gguf)     | Q8_0   | 8 | 312 MB| very large, extremely low quality loss - not recommended |
| [Yi-34Bx2-MoE-60B-f16-00001-of-00008.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-f16-00001-of-00008.gguf)     | f16   | 16 | 31.9 GB|  |
| [Yi-34Bx2-MoE-60B-f16-00002-of-00008.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-f16-00002-of-00008.gguf)     | f16   | 16 | 31.7 GB|  |
| [Yi-34Bx2-MoE-60B-f16-00003-of-00008.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-f16-00003-of-00008.gguf)     | f16   | 16 | 31.7 GB|  |
| [Yi-34Bx2-MoE-60B-f16-00004-of-00008.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-f16-00004-of-00008.gguf)     | f16   | 16 | 31.7 GB|  |
| [Yi-34Bx2-MoE-60B-f16-00005-of-00008.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-f16-00005-of-00008.gguf)     | f16   | 16 | 31.7 GB|  |
| [Yi-34Bx2-MoE-60B-f16-00006-of-00008.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-f16-00006-of-00008.gguf)     | f16   | 16 | 31.7 GB|  |
| [Yi-34Bx2-MoE-60B-f16-00007-of-00008.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-f16-00007-of-00008.gguf)     | f16   | 16 | 31.7 GB|  |
| [Yi-34Bx2-MoE-60B-f16-00008-of-00008.gguf](https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF/blob/main/Yi-34Bx2-MoE-60B-f16-00008-of-00008.gguf)     | f16   | 16 | 21.1 GB|  |

*Quantized with llama.cpp b2734*