How to use IntermediaIT/Llama-3.2-1B-Instruct-8Bit with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf IntermediaIT/Llama-3.2-1B-Instruct-8Bit:Q4_K_M # Run inference directly in the terminal: llama cli -hf IntermediaIT/Llama-3.2-1B-Instruct-8Bit:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf IntermediaIT/Llama-3.2-1B-Instruct-8Bit:Q4_K_M # Run inference directly in the terminal: llama cli -hf IntermediaIT/Llama-3.2-1B-Instruct-8Bit:Q4_K_M
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 IntermediaIT/Llama-3.2-1B-Instruct-8Bit:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf IntermediaIT/Llama-3.2-1B-Instruct-8Bit:Q4_K_M
docker model run hf.co/IntermediaIT/Llama-3.2-1B-Instruct-8Bit:Q4_K_M
How to use IntermediaIT/Llama-3.2-1B-Instruct-8Bit with Ollama:
ollama run hf.co/IntermediaIT/Llama-3.2-1B-Instruct-8Bit:Q4_K_M
How to use IntermediaIT/Llama-3.2-1B-Instruct-8Bit with Docker Model Runner:
How to use IntermediaIT/Llama-3.2-1B-Instruct-8Bit with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull IntermediaIT/Llama-3.2-1B-Instruct-8Bit:Q4_K_M
lemonade run user.Llama-3.2-1B-Instruct-8Bit-Q4_K_M
lemonade list
