base_model, inference, license, license_link, license_name, model_creator, model_name, model_type, pipeline_tag, quantized_by

base_model	inference	license	license_link	license_name	model_creator	model_name	model_type	pipeline_tag	quantized_by
01-ai/Yi-6B-Chat	false	other	LICENSE	yi-license	01-ai	Yi 6B Chat	yi	text-generation	Second State Inc.

---

Yi-34B-Chat-GGUF

Original Model

01-ai/Yi-6B-Chat

Run with LlamaEdge

• LlamaEdge version: v0.2.15 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: 4096

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-6B-Chat-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-6B-Chat-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>'
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Yi-6B-Chat-Q2_K.gguf	Q2_K	2	2.34 GB	smallest, significant quality loss - not recommended for most purposes
Yi-6B-Chat-Q3_K_L.gguf	Q3_K_L	3	3.24 GB	small, substantial quality loss
Yi-6B-Chat-Q3_K_M.gguf	Q3_K_M	3	2.99 GB	very small, high quality loss
Yi-6B-Chat-Q3_K_S.gguf	Q3_K_S	3	2.71 GB	very small, high quality loss
Yi-6B-Chat-Q4_0.gguf	Q4_0	4	3.48 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Yi-6B-Chat-Q4_K_M.gguf	Q4_K_M	4	3.67 GB	medium, balanced quality - recommended
Yi-6B-Chat-Q4_K_S.gguf	Q4_K_S	4	3.50 GB	small, greater quality loss
Yi-6B-Chat-Q5_0.gguf	Q5_0	5	4.20 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Yi-6B-Chat-Q5_K_M.gguf	Q5_K_M	5	4.30 GB	large, very low quality loss - recommended
Yi-6B-Chat-Q5_K_S.gguf	Q5_K_S	5	4.20 GB	large, low quality loss - recommended
Yi-6B-Chat-Q6_K.gguf	Q6_K	6	4.97 GB	very large, extremely low quality loss
Yi-6B-Chat-Q8_0.gguf	Q8_0	8	6.44 GB	very large, extremely low quality loss - not recommended