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 Lambent/Goose-7.2B-G1j-20260928:Q8_0# Run inference directly in the terminal:
llama cli -hf Lambent/Goose-7.2B-G1j-20260928:Q8_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 Lambent/Goose-7.2B-G1j-20260928:Q8_0# Run inference directly in the terminal:
./llama-cli -hf Lambent/Goose-7.2B-G1j-20260928:Q8_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 Lambent/Goose-7.2B-G1j-20260928:Q8_0# Run inference directly in the terminal:
./build/bin/llama-cli -hf Lambent/Goose-7.2B-G1j-20260928:Q8_0Use Docker
docker model run hf.co/Lambent/Goose-7.2B-G1j-20260928:Q8_0Quick Links
She's had some further work on code and math, improving honesty in conversations about facts she knows (from mostly flipping on first-answer pressure), and reducing role confusion.
Warning: RNN, still limited post-training. Capabilities in basic/quick benchmarks lean towards somewhat older instruct models (Qwen 2.5 7B, Llama 3 8B)
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf Lambent/Goose-7.2B-G1j-20260928:Q8_0# Run inference directly in the terminal: llama cli -hf Lambent/Goose-7.2B-G1j-20260928:Q8_0