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How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf gianma/LongAlpaca_13_EurlexIta_8k_cpp:F16# Run inference directly in the terminal:
llama cli -hf gianma/LongAlpaca_13_EurlexIta_8k_cpp:F16Use pre-built binary
# 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 gianma/LongAlpaca_13_EurlexIta_8k_cpp:F16# Run inference directly in the terminal:
./llama-cli -hf gianma/LongAlpaca_13_EurlexIta_8k_cpp:F16Build from source code
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 gianma/LongAlpaca_13_EurlexIta_8k_cpp:F16# Run inference directly in the terminal:
./build/bin/llama-cli -hf gianma/LongAlpaca_13_EurlexIta_8k_cpp:F16Use Docker
docker model run hf.co/gianma/LongAlpaca_13_EurlexIta_8k_cpp:F16Quick Links
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf gianma/LongAlpaca_13_EurlexIta_8k_cpp:F16# Run inference directly in the terminal: llama cli -hf gianma/LongAlpaca_13_EurlexIta_8k_cpp:F16