Genesis-1

An AlphaZero-style chess engine trained from self-play. It's a 15-block / 192-channel residual network (~10M parameters).

Download

To download the model: genesis_1.pt

How it works and how to use it

Genesis-1 is an AlphaZero-style network paired with PUCT Monte Carlo Tree Search.

• Input: the board encoded as 20 planes of 8x8, from the side-to-move's perspective (piece positions, castling rights, en passant, fifty-move counter, repetition).
• Body: a 15-block, 192-channel residual tower (~10M parameters).
• Two heads:
  • Policy over the 4672-move AlphaZero action space (8x8x73).
  • Value in [-1, 1], the expected game outcome for the side to move.
• Search: moves are chosen by MCTS guided by the network.

You can download the inference script from here

Stats

It's fundamentally a weak engine. Its Elo rating is estimated to be between 300 and 500.

Training

Genesis-1 was trained from self-play on:

• Hardware: GPU: RTX 3090 | CPU: Ryzen 9 5950X | RAM: 32GB
• OS: Windows 11
• Training time: ~12 days