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 avar6/Motif-3-Base-gguf:Q4_K_M# Run inference directly in the terminal:
llama cli -hf avar6/Motif-3-Base-gguf:Q4_K_MUse 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 avar6/Motif-3-Base-gguf:Q4_K_M# Run inference directly in the terminal:
./llama-cli -hf avar6/Motif-3-Base-gguf:Q4_K_MBuild 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 avar6/Motif-3-Base-gguf:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama-cli -hf avar6/Motif-3-Base-gguf:Q4_K_MUse Docker
docker model run hf.co/avar6/Motif-3-Base-gguf:Q4_K_MQuick Links
Experimental ggufs of the final version of Motif-3. They require this llamacpp fork https://github.com/ggml-org/llama.cpp/pull/26298
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Base model
Motif-Technologies/Motif-3-Base
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf avar6/Motif-3-Base-gguf:Q4_K_M# Run inference directly in the terminal: llama cli -hf avar6/Motif-3-Base-gguf:Q4_K_M