---

Yi-Coder-1.5B-Chat-GGUF

Original Model

01-ai/Yi-Coder-1.5B-Chat

Run with LlamaEdge

• LlamaEdge version: v0.14.2 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: 128000

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-Coder-1.5B-Chat-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template chatml \
    --reverse-prompt "<|im_end|>" \
    --ctx-size 128000 \
    --model-name Yi-Coder-1.5B-Chat
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-Coder-1.5B-Chat-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --reverse-prompt "<|im_end|>" \
    --ctx-size 128000
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Yi-Coder-1.5B-Chat-Q2_K.gguf	Q2_K	2	635 MB	smallest, significant quality loss - not recommended for most purposes
Yi-Coder-1.5B-Chat-Q3_K_L.gguf	Q3_K_L	3	826 MB	small, substantial quality loss
Yi-Coder-1.5B-Chat-Q3_K_M.gguf	Q3_K_M	3	768 MB	very small, high quality loss
Yi-Coder-1.5B-Chat-Q3_K_S.gguf	Q3_K_S	3	723 MB	very small, high quality loss
Yi-Coder-1.5B-Chat-Q4_0.gguf	Q4_0	4	866 MB	legacy; small, very high quality loss - prefer using Q3_K_M
Yi-Coder-1.5B-Chat-Q4_K_M.gguf	Q4_K_M	4	964 MB	medium, balanced quality - recommended
Yi-Coder-1.5B-Chat-Q4_K_S.gguf	Q4_K_S	4	904 MB	small, greater quality loss
Yi-Coder-1.5B-Chat-Q5_0.gguf	Q5_0	5	1.03 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Yi-Coder-1.5B-Chat-Q5_K_M.gguf	Q5_K_M	5	1.10 GB	large, very low quality loss - recommended
Yi-Coder-1.5B-Chat-Q5_K_S.gguf	Q5_K_S	5	1.05 GB	large, low quality loss - recommended
Yi-Coder-1.5B-Chat-Q6_K.gguf	Q6_K	6	1.28 GB	very large, extremely low quality loss
Yi-Coder-1.5B-Chat-Q8_0.gguf	Q8_0	8	1.57 GB	very large, extremely low quality loss - not recommended
Yi-Coder-1.5B-Chat-f16.gguf	f16	16	2.95 GB

Quantized with llama.cpp b3664