Functionary V3.1
Collection
Fine-tuning Llama-3.1 using original Meta's prompt template for function calling • 5 items • Updated • 3
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 meetkai/functionary-medium-v3.1-GGUF:Q4_0# Run inference directly in the terminal:
llama cli -hf meetkai/functionary-medium-v3.1-GGUF:Q4_0Use 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 meetkai/functionary-medium-v3.1-GGUF:Q4_0# Run inference directly in the terminal:
./llama-cli -hf meetkai/functionary-medium-v3.1-GGUF:Q4_0Build 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 meetkai/functionary-medium-v3.1-GGUF:Q4_0# Run inference directly in the terminal:
./build/bin/llama-cli -hf meetkai/functionary-medium-v3.1-GGUF:Q4_0Use Docker
docker model run hf.co/meetkai/functionary-medium-v3.1-GGUF:Q4_0Quick Links
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf meetkai/functionary-medium-v3.1-GGUF:Q4_0# Run inference directly in the terminal: llama cli -hf meetkai/functionary-medium-v3.1-GGUF:Q4_0