How to use Sido/makellm-ja-char-200m with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Sido/makellm-ja-char-200m:F16 # Run inference directly in the terminal: llama cli -hf Sido/makellm-ja-char-200m:F16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Sido/makellm-ja-char-200m:F16 # Run inference directly in the terminal: llama cli -hf Sido/makellm-ja-char-200m:F16
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 Sido/makellm-ja-char-200m:F16 # Run inference directly in the terminal: ./build/bin/llama cli -hf Sido/makellm-ja-char-200m:F16
docker model run hf.co/Sido/makellm-ja-char-200m:F16
How to use Sido/makellm-ja-char-200m with vLLM:
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Sido/makellm-ja-char-200m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sido/makellm-ja-char-200m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
How to use Sido/makellm-ja-char-200m with Ollama:
ollama run hf.co/Sido/makellm-ja-char-200m:F16
How to use Sido/makellm-ja-char-200m with Docker Model Runner:
How to use Sido/makellm-ja-char-200m with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Sido/makellm-ja-char-200m:F16
lemonade run user.makellm-ja-char-200m-F16
lemonade list
