How to use microsoft/Phi-3-mini-4k-instruct-gguf with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf microsoft/Phi-3-mini-4k-instruct-gguf # Run inference directly in the terminal: llama cli -hf microsoft/Phi-3-mini-4k-instruct-gguf
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf microsoft/Phi-3-mini-4k-instruct-gguf # Run inference directly in the terminal: llama cli -hf microsoft/Phi-3-mini-4k-instruct-gguf
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf microsoft/Phi-3-mini-4k-instruct-gguf # Run inference directly in the terminal: ./llama-cli -hf microsoft/Phi-3-mini-4k-instruct-gguf
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf microsoft/Phi-3-mini-4k-instruct-gguf # Run inference directly in the terminal: ./build/bin/llama-cli -hf microsoft/Phi-3-mini-4k-instruct-gguf
docker model run hf.co/microsoft/Phi-3-mini-4k-instruct-gguf
How to use microsoft/Phi-3-mini-4k-instruct-gguf with vLLM:
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "microsoft/Phi-3-mini-4k-instruct-gguf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "microsoft/Phi-3-mini-4k-instruct-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'
How to use microsoft/Phi-3-mini-4k-instruct-gguf with Ollama:
ollama run hf.co/microsoft/Phi-3-mini-4k-instruct-gguf
How to use microsoft/Phi-3-mini-4k-instruct-gguf with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for microsoft/Phi-3-mini-4k-instruct-gguf to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for microsoft/Phi-3-mini-4k-instruct-gguf to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for microsoft/Phi-3-mini-4k-instruct-gguf to start chatting
How to use microsoft/Phi-3-mini-4k-instruct-gguf with Docker Model Runner:
How to use microsoft/Phi-3-mini-4k-instruct-gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull microsoft/Phi-3-mini-4k-instruct-gguf
lemonade run user.Phi-3-mini-4k-instruct-gguf-{{QUANT_TAG}}
lemonade list
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