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---
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
---
<!-- header start -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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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*
|