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DeepSeek-V2-Lite-Chat-GGUF

Original Model

deepseek-ai/DeepSeek-V2-Lite-Chat

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

Quantized GGUF Models

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

Quatized with llama.cpp b3333

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Architecture
deepseek2

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Inference Examples
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