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: 4096

  • 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 4096
      --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 4096
    

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

Downloads last month
1,417
GGUF
Model size
7.25B params
Architecture
qwen2
Inference Examples
Inference API (serverless) has been turned off for this model.

Quantized from