---

Phi-3-medium-128k-instruct-GGUF

Original Model

microsoft/Phi-3-medium-128k-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: 128000

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-medium-128k-instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template phi-3-chat \
    --ctx-size 128000 \
    --model-name phi-3-medium-128k
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-medium-128k-instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template phi-3-chat \
    --ctx-size 128000
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Phi-3-medium-128k-instruct-Q2_K.gguf	Q2_K	2	5.14 GB	smallest, significant quality loss - not recommended for most purposes
Phi-3-medium-128k-instruct-Q3_K_L.gguf	Q3_K_L	3	7.49 GB	small, substantial quality loss
Phi-3-medium-128k-instruct-Q3_K_M.gguf	Q3_K_M	3	6.92 GB	very small, high quality loss
Phi-3-medium-128k-instruct-Q3_K_S.gguf	Q3_K_S	3	6.06 GB	very small, high quality loss
Phi-3-medium-128k-instruct-Q4_0.gguf	Q4_0	4	7.9 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Phi-3-medium-128k-instruct-Q4_K_M.gguf	Q4_K_M	4	8.57 GB	medium, balanced quality - recommended
Phi-3-medium-128k-instruct-Q4_K_S.gguf	Q4_K_S	4	7.95 GB	small, greater quality loss
Phi-3-medium-128k-instruct-Q5_0.gguf	Q5_0	5	9.62 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Phi-3-medium-128k-instruct-Q5_K_M.gguf	Q5_K_M	5	10.1 GB	large, very low quality loss - recommended
Phi-3-medium-128k-instruct-Q5_K_S.gguf	Q5_K_S	5	9.62 GB	large, low quality loss - recommended
Phi-3-medium-128k-instruct-Q6_K.gguf	Q6_K	6	11.5 GB	very large, extremely low quality loss
Phi-3-medium-128k-instruct-Q8_0.gguf	Q8_0	8	14.8 GB	very large, extremely low quality loss - not recommended
Phi-3-medium-128k-instruct-f16.gguf	f16	16	27.9 GB

Quantized with llama.cpp b2961.