DeepSeek-Coder-V2-Lite-Instruct-GGUF

Original Model

deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct

Run with LlamaEdge

  • LlamaEdge version: v0.12.3 and above

  • Prompt template

    • Prompt type: deepseek-chat-2

    • Prompt string

      <|begin_of_sentence|>{system_message}
      
      User: {user_message_1}
      
      Assistant: {assistant_message_1}<|end_of_sentence|>User: {user_message_2}
      
      Assistant:
      
  • Context size: 128000

  • Run as LlamaEdge service

    wasmedge --dir .:. \
      --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Lite-Instruct-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template deepseek-chat-2 \
      --ctx-size 128000 \
      --model-name DeepSeek-Coder-V2-Lite-Instruct
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. \
      --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Lite-Instruct-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template deepseek-chat-2 \
      --ctx-size 128000
    

Quantized GGUF Models

Name Quant method Bits Size Use case
DeepSeek-Coder-V2-Lite-Instruct-Q2_K.gguf Q2_K 2 6.43 GB smallest, significant quality loss - not recommended for most purposes
DeepSeek-Coder-V2-Lite-Instruct-Q3_K_L.gguf Q3_K_L 3 8.46 GB small, substantial quality loss
DeepSeek-Coder-V2-Lite-Instruct-Q3_K_M.gguf Q3_K_M 3 8.13 GB very small, high quality loss
DeepSeek-Coder-V2-Lite-Instruct-Q3_K_S.gguf Q3_K_S 3 7.49 GB very small, high quality loss
DeepSeek-Coder-V2-Lite-Instruct-Q4_0.gguf Q4_0 4 8.91 GB legacy; small, very high quality loss - prefer using Q3_K_M
DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf Q4_K_M 4 10.4 GB medium, balanced quality - recommended
DeepSeek-Coder-V2-Lite-Instruct-Q4_K_S.gguf Q4_K_S 4 9.53 GB small, greater quality loss
DeepSeek-Coder-V2-Lite-Instruct-Q5_0.gguf Q5_0 5 10.8 GB legacy; medium, balanced quality - prefer using Q4_K_M
DeepSeek-Coder-V2-Lite-Instruct-Q5_K_M.gguf Q5_K_M 5 11.9 GB large, very low quality loss - recommended
DeepSeek-Coder-V2-Lite-Instruct-Q5_K_S.gguf Q5_K_S 5 11.1 GB large, low quality loss - recommended
DeepSeek-Coder-V2-Lite-Instruct-Q6_K.gguf Q6_K 6 14.1 GB very large, extremely low quality loss
DeepSeek-Coder-V2-Lite-Instruct-Q8_0.gguf Q8_0 8 16.7 GB very large, extremely low quality loss - not recommended
DeepSeek-Coder-V2-Lite-Instruct-f16.gguf f16 16 31.4 GB

Quatized with llama.cpp b3212

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

Model tree for second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF

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