llama.cpp How to use devmeta/Llama-3-8B-Racing-Level-Design-Expert 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 devmeta/Llama-3-8B-Racing-Level-Design-Expert:Q4_K_M_RACING
# Run inference directly in the terminal:
llama cli -hf devmeta/Llama-3-8B-Racing-Level-Design-Expert:Q4_K_M_RACING
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf devmeta/Llama-3-8B-Racing-Level-Design-Expert:Q4_K_M_RACING
# Run inference directly in the terminal:
llama cli -hf devmeta/Llama-3-8B-Racing-Level-Design-Expert:Q4_K_M_RACING
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 devmeta/Llama-3-8B-Racing-Level-Design-Expert:Q4_K_M_RACING
# Run inference directly in the terminal:
./build/bin/llama cli -hf devmeta/Llama-3-8B-Racing-Level-Design-Expert:Q4_K_M_RACING
Use Docker
docker model run hf.co/devmeta/Llama-3-8B-Racing-Level-Design-Expert:Q4_K_M_RACING
