MiniCPM-V-2_6-GGUF

Original Model

openbmb/MiniCPM-V-2_6

Run with LlamaEdge

  • LlamaEdge version: v0.14.17 and above

  • Prompt template

    • Prompt type: minicpmv

    • Prompt string

      <|system|>
      {system_message}<|end|>
      <|user|>
      {user_message_1}<|end|>
      <|assistant|>
      {assistant_message_1}<|end|>
      <|user|>
      {user_message_2}<|end|>
      <|assistant|>
      

      The {user_message_n} has the format: {image_base64_encoding_string}\n{user_question}.

  • Context size: 128000

  • Run as LlamaEdge service

    wasmedge --dir .:. \
      --nn-preload default:GGML:AUTO:MiniCPM-V-2_6-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template minicpmv \
      --ctx-size 128000 \
      --llava-mmproj mmproj-model-f16.gguf \
      --model-name minicpmv-26
    

Quantized GGUF Models

Name Quant method Bits Size Use case
MiniCPM-V-2_6-Q2_K.gguf Q2_K 2 3.01 GB smallest, significant quality loss - not recommended for most purposes
MiniCPM-V-2_6-Q3_K_L.gguf Q3_K_L 3 4.09 GB small, substantial quality loss
MiniCPM-V-2_6-Q3_K_M.gguf Q3_K_M 3 3.81 GB very small, high quality loss
MiniCPM-V-2_6-Q3_K_S.gguf Q3_K_S 3 3.49 GB very small, high quality loss
MiniCPM-V-2_6-Q4_0.gguf Q4_0 4 4.43 GB legacy; small, very high quality loss - prefer using Q3_K_M
MiniCPM-V-2_6-Q4_K_M.gguf Q4_K_M 4 4.68 GB medium, balanced quality - recommended
MiniCPM-V-2_6-Q4_K_S.gguf Q4_K_S 4 4.46 GB small, greater quality loss
MiniCPM-V-2_6-Q5_0.gguf Q5_0 5 5.31 GB legacy; medium, balanced quality - prefer using Q4_K_M
MiniCPM-V-2_6-Q5_K_M.gguf Q5_K_M 5 5.44 GB large, very low quality loss - recommended
MiniCPM-V-2_6-Q5_K_S.gguf Q5_K_S 5 5.31 GB large, low quality loss - recommended
MiniCPM-V-2_6-Q6_K.gguf Q6_K 6 6.25 GB very large, extremely low quality loss
MiniCPM-V-2_6-Q8_0.gguf Q8_0 8 8.10 GB very large, extremely low quality loss - not recommended
MiniCPM-V-2_6-f16.gguf f16 16 15.2 GB

Quantized with llama.cpp b4120.

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GGUF
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Inference Examples
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