QwQ-32B-Preview-GGUF

Original Model

Qwen/QwQ-32B-Preview

Run with LlamaEdge

  • LlamaEdge version: v0.14.16

  • 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: 32000

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:QwQ-32B-Preview-Q5_K_M.gguf \
      llama-api-server.wasm \
      --model-name QwQ-32B-Preview \
      --prompt-template chatml \
      --ctx-size 32000
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:QwQ-32B-Preview-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template chatml \
      --ctx-size 32000
    

Quantized GGUF Models

Name Quant method Bits Size Use case
QwQ-32B-Preview-Q2_K.gguf Q2_K 2 12.3 GB smallest, significant quality loss - not recommended for most purposes
QwQ-32B-Preview-Q3_K_L.gguf Q3_K_L 3 17.2 GB small, substantial quality loss
QwQ-32B-Preview-Q3_K_M.gguf Q3_K_M 3 15.9 GB very small, high quality loss
QwQ-32B-Preview-Q3_K_S.gguf Q3_K_S 3 14.4 GB very small, high quality loss
QwQ-32B-Preview-Q4_0.gguf Q4_0 4 18.6 GB legacy; small, very high quality loss - prefer using Q3_K_M
QwQ-32B-Preview-Q4_K_M.gguf Q4_K_M 4 19.9 GB medium, balanced quality - recommended
QwQ-32B-Preview-Q4_K_S.gguf Q4_K_S 4 18.8 GB small, greater quality loss
QwQ-32B-Preview-Q5_0.gguf Q5_0 5 22.6 GB legacy; medium, balanced quality - prefer using Q4_K_M
QwQ-32B-Preview-Q5_K_M.gguf Q5_K_M 5 23.3 GB large, very low quality loss - recommended
QwQ-32B-Preview-Q5_K_S.gguf Q5_K_S 5 22.6 GB large, low quality loss - recommended
QwQ-32B-Preview-Q6_K.gguf Q6_K 6 26.9 GB very large, extremely low quality loss
QwQ-32B-Preview-Q8_0.gguf Q8_0 8 34.8 GB very large, extremely low quality loss - not recommended
QwQ-32B-Preview-f16-00001-of-00003.gguf f16 16 29.8 GB
QwQ-32B-Preview-f16-00002-of-00003.gguf f16 16 29.8 GB
QwQ-32B-Preview-f16-00003-of-00003.gguf f16 16 5.87 GB

Quantized with llama.cpp b4120

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GGUF
Model size
32.8B params
Architecture
qwen2

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Inference Examples
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Model tree for second-state/QwQ-32B-Preview-GGUF

Base model

Qwen/Qwen2.5-32B
Quantized
(110)
this model