How to use prajnaai/slm-deps with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf prajnaai/slm-deps:Q8_0 # Run inference directly in the terminal: llama cli -hf prajnaai/slm-deps:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf prajnaai/slm-deps:Q8_0 # Run inference directly in the terminal: llama cli -hf prajnaai/slm-deps:Q8_0
# 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 prajnaai/slm-deps:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf prajnaai/slm-deps:Q8_0
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 prajnaai/slm-deps:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf prajnaai/slm-deps:Q8_0
docker model run hf.co/prajnaai/slm-deps:Q8_0
How to use prajnaai/slm-deps with Ollama:
ollama run hf.co/prajnaai/slm-deps:Q8_0
How to use prajnaai/slm-deps with Docker Model Runner:
How to use prajnaai/slm-deps with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull prajnaai/slm-deps:Q8_0
lemonade run user.slm-deps-Q8_0
lemonade list
Runtime assets for a desktop app. Gemma weights redistributed under the Google Gemma Terms of Use (see LICENSE-gemma.txt). Voices: k2-fsa/sherpa-onnx (MIT/Apache). Inference engine: llama.cpp (MIT).
4-bit
8-bit
