Instructions to use calcuis/phi3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use calcuis/phi3 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf calcuis/phi3:Q4_K_M # Run inference directly in the terminal: llama cli -hf calcuis/phi3:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf calcuis/phi3:Q4_K_M # Run inference directly in the terminal: llama cli -hf calcuis/phi3:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf calcuis/phi3:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf calcuis/phi3:Q4_K_M
Use Docker
docker model run hf.co/calcuis/phi3:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use calcuis/phi3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "calcuis/phi3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "calcuis/phi3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/calcuis/phi3:Q4_K_M
- Ollama
How to use calcuis/phi3 with Ollama:
ollama run hf.co/calcuis/phi3:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use calcuis/phi3 with Docker Model Runner:
docker model run hf.co/calcuis/phi3:Q4_K_M
- Lemonade
How to use calcuis/phi3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull calcuis/phi3:Q4_K_M
Run and chat with the model
lemonade run user.phi3-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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project original [source](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) (base model)
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16-bit and 32-bit are also provided here for research perspectives; since the file size (16bit) is similar to the original safetensors; once you have a GPU, go ahead with the safetensors, pretty much the same
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project original [source](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) (base model)
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Q_2 (not nice)
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Q_3 (acceptable)
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Q_4 family is recommanded (good for running with CPU as well)
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Q_5 (good in general)
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Q_6 is good also; if you want a better result; take this one instead of Q_5
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Q_8 which is very good; need a reasonable size of RAM otherwise you might expect a long wait
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16-bit and 32-bit are also provided here for research perspectives; since the file size (16bit) is similar to the original safetensors; once you have a GPU, go ahead with the safetensors, pretty much the same
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