Edit model card

CodeQwen1.5-7B-Chat-GGUF

Original Model

Qwen/CodeQwen1.5-7B-Chat

Run with LlamaEdge

  • LlamaEdge version: v0.9.1 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
      
  • Context size: 64000

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:CodeQwen1.5-7B-Chat-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template chatml
      --context-size 64000
      --model-name CodeQwen1.5-7B-Chat
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:CodeQwen1.5-7B-Chat-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template chatml \
      --ctx-size 64000
    

Quantized GGUF Models

Name Quant method Bits Size Use case
CodeQwen1.5-7B-Chat-Q2_K.gguf Q2_K 2 3.05 GB smallest, significant quality loss - not recommended for most purposes
CodeQwen1.5-7B-Chat-Q3_K_L.gguf Q3_K_L 3 3.99 GB small, substantial quality loss
CodeQwen1.5-7B-Chat-Q3_K_M.gguf Q3_K_M 3 3.81 GB very small, high quality loss
CodeQwen1.5-7B-Chat-Q3_K_S.gguf Q3_K_S 3 3.5 GB very small, high quality loss
CodeQwen1.5-7B-Chat-Q4_0.gguf Q4_0 4 4.18 GB legacy; small, very high quality loss - prefer using Q3_K_M
CodeQwen1.5-7B-Chat-Q4_K_M.gguf Q4_K_M 4 4.74 GB medium, balanced quality - recommended
CodeQwen1.5-7B-Chat-Q4_K_S.gguf Q4_K_S 4 4.41 GB small, greater quality loss
CodeQwen1.5-7B-Chat-Q5_0.gguf Q5_0 5 5.04 GB legacy; medium, balanced quality - prefer using Q4_K_M
CodeQwen1.5-7B-Chat-Q5_K_M.gguf Q5_K_M 5 5.43 GB large, very low quality loss - recommended
CodeQwen1.5-7B-Chat-Q5_K_S.gguf Q5_K_S 5 5.15 GB large, low quality loss - recommended
CodeQwen1.5-7B-Chat-Q6_K.gguf Q6_K 6 6.38 GB very large, extremely low quality loss
CodeQwen1.5-7B-Chat-Q8_0.gguf Q8_0 8 7.71 GB very large, extremely low quality loss - not recommended
CodeQwen1.5-7B-Chat-f16.gguf f16 16 14.5 GB

Quantized with llama.cpp b2781

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GGUF
Model size
7.25B params
Architecture
qwen2

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Inference Examples
Inference API (serverless) has been turned off for this model.

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