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 V3G4v2/V3G4-v3:Q4_K_M# Run inference directly in the terminal:
llama cli -hf V3G4v2/V3G4-v3:HFQUANT_TAGHFBuild 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 V3G4v2/V3G4-v3:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama cli -hf V3G4v2/V3G4-v3:Q4_K_MUse Docker
docker model run hf.co/V3G4v2/V3G4-v3:Q4_K_MQuick Links
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Hardware compatibility
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4-bit
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Base model
deepseek-ai/DeepSeek-R1
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf V3G4v2/V3G4-v3:Q4_K_M# Run inference directly in the terminal: llama cli -hf V3G4v2/V3G4-v3:HFQUANT_TAGHF