DeepSeek-R1-0528-Qwen3-8B-GGUF

Original Model

deepseek-ai/DeepSeek-R1-0528-Qwen3-8B

Run with LlamaEdge

  • LlamaEdge version: v0.21.0 or 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: 128000

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:DeepSeek-R1-0528-Qwen3-8B-Q5_K_M.gguf \
      llama-api-server.wasm \
      --model-name DeepSeek-R1-0528-Qwen3-8B \
      --prompt-template chatml \
      --ctx-size 128000
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:DeepSeek-R1-0528-Qwen3-8B-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template chatml \
      --ctx-size 128000
    

Quantized GGUF Models

Name Quant method Bits Size Use case
DeepSeek-R1-0528-Qwen3-8B-Q2_K.gguf Q2_K 2 3.28 GB smallest, significant quality loss - not recommended for most purposes
DeepSeek-R1-0528-Qwen3-8B-Q3_K_L.gguf Q3_K_L 3 4.43 GB small, substantial quality loss
DeepSeek-R1-0528-Qwen3-8B-Q3_K_M.gguf Q3_K_M 3 4.12 GB very small, high quality loss
DeepSeek-R1-0528-Qwen3-8B-Q3_K_S.gguf Q3_K_S 3 3.77 GB very small, high quality loss
DeepSeek-R1-0528-Qwen3-8B-Q4_0.gguf Q4_0 4 4.77 GB legacy; small, very high quality loss - prefer using Q3_K_M
DeepSeek-R1-0528-Qwen3-8B-Q4_K_M.gguf Q4_K_M 4 5.03 GB medium, balanced quality - recommended
DeepSeek-R1-0528-Qwen3-8B-Q4_K_S.gguf Q4_K_S 4 4.80 GB small, greater quality loss
DeepSeek-R1-0528-Qwen3-8B-Q5_0.gguf Q5_0 5 5.72 GB legacy; medium, balanced quality - prefer using Q4_K_M
DeepSeek-R1-0528-Qwen3-8B-Q5_K_M.gguf Q5_K_M 5 5.85 GB large, very low quality loss - recommended
DeepSeek-R1-0528-Qwen3-8B-Q5_K_S.gguf Q5_K_S 5 5.72 GB large, low quality loss - recommended
DeepSeek-R1-0528-Qwen3-8B-Q6_K.gguf Q6_K 6 6.73 GB very large, extremely low quality loss
DeepSeek-R1-0528-Qwen3-8B-Q8_0.gguf Q8_0 8 8.71 GB very large, extremely low quality loss - not recommended
DeepSeek-R1-0528-Qwen3-8B-f16.gguf f16 16 16.4 GB

Quantized with llama.cpp b5501

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GGUF
Model size
8.19B params
Architecture
qwen3
Hardware compatibility
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