metadata

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

Yi-34Bx2-MoE-60B-GGUF

Original Model

cloudyu/Yi-34Bx2-MoE-60B

Run with LlamaEdge

LlamaEdge version: v0.2.8 and above

Prompt template

Prompt type: chatml

Prompt string

<|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

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-34Bx2-MoE-60B-Q5_K_M.gguf llama-api-server.wasm -p chatml -r '<|im_end|>'

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-34Bx2-MoE-60B-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>'

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
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	Q3_K_L	3	31.8 GB	small, substantial quality loss
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	Q3_K_S	3	26.3 GB	very small, high quality loss
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	Q4_K_M	4	36.7 GB	medium, balanced quality - recommended
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	Q5_0	5	41.9 GB	legacy; medium, balanced quality - prefer using Q4_K_M
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	Q5_K_S	5	41.9 GB	large, low quality loss - recommended
Yi-34Bx2-MoE-60B-Q6_K.gguf	Q6_K	6	49.9 GB	very large, extremely low quality loss