Checkpoints of tinywmcraft, a 13.9M-parameter pixel world model for Craftax-Classic trained from scratch in 10 minutes on one A100. Each model.npz holds the tokenizer, the flow-matching world model with reward and termination heads, and JSON metadata with the training config and time. Recipe on main: hybrid tile tokenizer, Pallas kernels, Muon, reward and termination heads. Trained cold on one Colab A100-SXM4-40GB on 2026-10-15, scored by the frozen eval.py (2048 windows, 8 context frames, 16 generated, 8 Euler steps). Mean gFVD 0.00147 ± 0.00019. Each folder has the ledgerrow.jsonl written by eval.py. An earlier research recipe (branch normuon): gFVD 0.00125, AF 0.920, seed 0. Lower gFVD…