Neural Architecture
Edge-Native Chess Models
Lightweight Transformer neural network specialized for Chinese Chess. Millisecond-latency edge inference with zero backend compute overhead.
Active Live Version9.74M Params
Xiangqi Transformer V2.10
Equipped with 32-ply action history self-attention and batched PVS search. Formally verified past Pikafish UCI_Elo 2000 baseline.
Parameters9.74M (Edge-Native)
Action History32-ply Attention
Strength RatingPassed Pikafish 2000 Gate
Latency~8.5ms (Client Wasm)
Coming SoonNext Gen
Next-Gen Model in Training
A next-generation neural architecture with deeper tactical search and reinforcement self-play is currently in training. Stay tuned.
StatusTraining in Progress
ProgressComing Soon
PlayableCurrent Model Live