README.md

metadata

title: ChessTransformer
emoji: ♟️
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 5.49.0
app_file: app.py
pinned: false
license: mit
short_description: Play a chess transformer trained only on human games

♟️ ChessTransformer

Play an 11.7M-parameter transformer trained only on human games (no self-play, no reinforcement learning), playing via AlphaZero-style MCTS. At full strength it reaches ~2100 Elo against Stockfish; this Space runs on CPU at a lower simulation count so moves come back in ~1–2s.

You play White — drag a piece and the bot replies automatically. Use the slider to trade strength for speed.

Code, weights, and the training pipeline: https://github.com/tchauffi/ChessTransformer

This README.md is the Space config. The deployable Space is assembled by prepare.sh (see DEPLOY.md) — it bundles app.py, this file, the slim requirements.txt, the chesstransformer package source, and the model weights.