chess_minfreq2
Chess model submitted to the LLM Course Chess Challenge.
Submission Info
- Submitted by: alexandreduplessis
- Parameters: 3,030,912
- Organization: LLM-course
Model Details
- Architecture: Chess Transformer (GPT-style)
- Vocab size: 18253
- Embedding dim: 128
- Layers: 4
- Heads: 4
- Downloads last month
- 1
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 }'