base_model, license, license_link, language, pipeline_tag, library_name, model_creator, model_name, quantized_by, tags

base_model	license	license_link	language	pipeline_tag	library_name	model_creator	model_name	quantized_by	tags
microsoft/Phi-4-mini-instruct	mit	https://huggingface.co/microsoft/Phi-4-mini-instruct/resolve/main/LICENSE	multilingual ar zh cs da nl en fi fr de he hu it ja ko no pl pt ru es sv th tr uk	text-generation	transformers	Microsoft	Phi-4-mini-instruct	Second State Inc.	nlp code

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Phi-4-mini-instruct-GGUF

Original Model

microsoft/Phi-4-mini-instruct

Run with LlamaEdge

• LlamaEdge version: v0.16.9 and above

• Prompt template

  • Prompt type: phi-4-chat

  • Prompt string

    <|im_start|>system<|im_sep|>
    {system_message}<|im_end|>
    <|im_start|>user<|im_sep|>
    {user_message}<|im_end|>
    <|im_start|>assistant<|im_sep|>
    

• Context size: 128000

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-4-mini-instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template phi-4-chat \
    --ctx-size 128000 \
    --model-name phi-4-mini
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-4-mini-instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template phi-4-chat \
    --ctx-size 128000
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Phi-4-mini-instruct-Q2_K.gguf	Q2_K	2	1.68 GB	smallest, significant quality loss - not recommended for most purposes
Phi-4-mini-instruct-Q3_K_L.gguf	Q3_K_L	3	2.25 GB	small, substantial quality loss
Phi-4-mini-instruct-Q3_K_M.gguf	Q3_K_M	3	2.12 GB	very small, high quality loss
Phi-4-mini-instruct-Q3_K_S.gguf	Q3_K_S	3	1.90 GB	very small, high quality loss
Phi-4-mini-instruct-Q4_0.gguf	Q4_0	4	2.33 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Phi-4-mini-instruct-Q4_K_M.gguf	Q4_K_M	4	2.49 GB	medium, balanced quality - recommended
Phi-4-mini-instruct-Q4_K_S.gguf	Q4_K_S	4	2.34 GB	small, greater quality loss
Phi-4-mini-instruct-Q5_0.gguf	Q5_0	5	2.73 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Phi-4-mini-instruct-Q5_K_M.gguf	Q5_K_M	5	2.85 GB	large, very low quality loss - recommended
Phi-4-mini-instruct-Q5_K_S.gguf	Q5_K_S	5	2.73 GB	large, low quality loss - recommended
Phi-4-mini-instruct-Q6_K.gguf	Q6_K	6	3.16 GB	very large, extremely low quality loss
Phi-4-mini-instruct-Q8_0.gguf	Q8_0	8	4.08 GB	very large, extremely low quality loss - not recommended
Phi-4-mini-instruct-f16.gguf	f16	16	7.68 GB

Quantized with llama.cpp b4792.