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Phi-3-medium-4k-instruct-GGUF

Original Model

microsoft/Phi-3-medium-4k-instruct

Run with LlamaEdge

  • LlamaEdge version: v0.11.2 and above

  • Prompt template

    • Prompt type: phi-3-chat

    • Prompt string

      <|system|>
      {system_message}<|end|>
      <|user|>
      {user_message_1}<|end|>
      <|assistant|>
      {assistant_message_1}<|end|>
      <|user|>
      {user_message_2}<|end|>
      <|assistant|>
      
  • Context size: 4000

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-medium-4k-instruct-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template phi-3-chat \
      --ctx-size 4000 \
      --model-name phi-3-medium-4k
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-medium-4k-instruct-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template phi-3-chat \
      --ctx-size 4000
    

Quantized GGUF Models

Name Quant method Bits Size Use case
Phi-3-medium-4k-instruct-Q2_K.gguf Q2_K 2 5.14 GB smallest, significant quality loss - not recommended for most purposes
Phi-3-medium-4k-instruct-Q3_K_L.gguf Q3_K_L 3 7.49 GB small, substantial quality loss
Phi-3-medium-4k-instruct-Q3_K_M.gguf Q3_K_M 3 6.92 GB very small, high quality loss
Phi-3-medium-4k-instruct-Q3_K_S.gguf Q3_K_S 3 6.06 GB very small, high quality loss
Phi-3-medium-4k-instruct-Q4_0.gguf Q4_0 4 7.9 GB legacy; small, very high quality loss - prefer using Q3_K_M
Phi-3-medium-4k-instruct-Q4_K_M.gguf Q4_K_M 4 8.57 GB medium, balanced quality - recommended
Phi-3-medium-4k-instruct-Q4_K_S.gguf Q4_K_S 4 7.95 GB small, greater quality loss
Phi-3-medium-4k-instruct-Q5_0.gguf Q5_0 5 9.62 GB legacy; medium, balanced quality - prefer using Q4_K_M
Phi-3-medium-4k-instruct-Q5_K_M.gguf Q5_K_M 5 10.1 GB large, very low quality loss - recommended
Phi-3-medium-4k-instruct-Q5_K_S.gguf Q5_K_S 5 9.62 GB large, low quality loss - recommended
Phi-3-medium-4k-instruct-Q6_K.gguf Q6_K 6 11.5 GB very large, extremely low quality loss
Phi-3-medium-4k-instruct-Q8_0.gguf Q8_0 8 14.8 GB very large, extremely low quality loss - not recommended
Phi-3-medium-4k-instruct-f16.gguf f16 16 27.9 GB

Quantized with llama.cpp b2961.

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