How to use Boollm/Boollm-Small-135M with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Boollm/Boollm-Small-135M:Q8_0 # Run inference directly in the terminal: llama cli -hf Boollm/Boollm-Small-135M:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Boollm/Boollm-Small-135M:Q8_0 # Run inference directly in the terminal: llama cli -hf Boollm/Boollm-Small-135M:Q8_0
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 Boollm/Boollm-Small-135M:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf Boollm/Boollm-Small-135M:Q8_0
docker model run hf.co/Boollm/Boollm-Small-135M:Q8_0
How to use Boollm/Boollm-Small-135M with vLLM:
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Boollm/Boollm-Small-135M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Boollm/Boollm-Small-135M", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'
How to use Boollm/Boollm-Small-135M with Ollama:
ollama run hf.co/Boollm/Boollm-Small-135M:Q8_0
How to use Boollm/Boollm-Small-135M with Docker Model Runner:
How to use Boollm/Boollm-Small-135M with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Boollm/Boollm-Small-135M:Q8_0
lemonade run user.Boollm-Small-135M-Q8_0
lemonade list
