How to use sahilchachra/supra-50m-instruct-fp16-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir supra-50m-instruct-fp16-mlx sahilchachra/supra-50m-instruct-fp16-mlx
How to use sahilchachra/supra-50m-instruct-fp16-mlx with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf sahilchachra/supra-50m-instruct-fp16-mlx:F16 # Run inference directly in the terminal: llama cli -hf sahilchachra/supra-50m-instruct-fp16-mlx:F16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sahilchachra/supra-50m-instruct-fp16-mlx:F16 # Run inference directly in the terminal: llama cli -hf sahilchachra/supra-50m-instruct-fp16-mlx:F16
# 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 sahilchachra/supra-50m-instruct-fp16-mlx:F16 # Run inference directly in the terminal: ./llama-cli -hf sahilchachra/supra-50m-instruct-fp16-mlx:F16
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 sahilchachra/supra-50m-instruct-fp16-mlx:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf sahilchachra/supra-50m-instruct-fp16-mlx:F16
docker model run hf.co/sahilchachra/supra-50m-instruct-fp16-mlx:F16
How to use sahilchachra/supra-50m-instruct-fp16-mlx with Ollama:
ollama run hf.co/sahilchachra/supra-50m-instruct-fp16-mlx:F16
How to use sahilchachra/supra-50m-instruct-fp16-mlx with Docker Model Runner:
How to use sahilchachra/supra-50m-instruct-fp16-mlx with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sahilchachra/supra-50m-instruct-fp16-mlx:F16
lemonade run user.supra-50m-instruct-fp16-mlx-F16
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