How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LLM-course/chess_minfreq2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LLM-course/chess_minfreq2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/LLM-course/chess_minfreq2
Quick Links

chess_minfreq2

Chess model submitted to the LLM Course Chess Challenge.

Submission Info

Model Details

  • Architecture: Chess Transformer (GPT-style)
  • Vocab size: 18253
  • Embedding dim: 128
  • Layers: 4
  • Heads: 4
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