LLM-course/ParetoTinyRNNTransformers98k_v4_cycles_TRM_d80_L1_H2_C8_100k_LegalW0p5

Chess model submitted to the LLM Course Chess Challenge.

Submission Info

• —Submitted by: janisaiad
• —Parameters: 98,080
• —Organization: LLM-course

Model Details

• —Architecture: Tiny Recursive Model (TRM) - looping recurrent transformer (cycle-shared weights)
• —Vocab size: 156
• —Embedding dim: 80
• —Layers: 1
• —Heads: 2
• —Cycles: 8

TRM note: this is a looping TRM model — at inference/training time we run the same transformer stack for 8 recurrent refinement cycle(s) (weights are shared across cycles), which increases compute/reasoning depth without increasing parameter count.