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SheepSeb/tinyworldformer

Tiny world model generates games and stream ac plays them all on Pico 2W

★ 242Week rank 166 · star gain starts at the next snapshot

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From the README

Using 2 small neural networks to generate and play the game at the same time on a Raspberry Pi Pico 2 W. The first one creates the game: given the current frame and the action, it predicts the next frame and the reward.

Setup prompt

Paste this into Cursor or Claude Code. It only includes install lines found in the README, and it asks the agent to review the code first.

Set up the GitHub repository SheepSeb/tinyworldformer (Tiny world model generates games and stream ac plays them all on Pico 2W).
Repository: https://github.com/SheepSeb/tinyworldformer

Official install commands found in the README:
uv sync
uv run python -m tinyworldformer.training.data --game $G --transitions 2000000 --varied 0.3   # -> data/$G
uv run python -m tinyworldformer.training.train --data data/$G --d 48 --heads 3 --ff 96 --out models/${G}_wm.pt
uv run python -m tinyworldformer.training.streamx --env real --game $G --out models/${G}_agent.pt
uv run python -m tinyworldformer.training.evalwm --ckpt models/${G}_wm.pt --agent models/${G}_agent.pt   # check the dream
uv run python -m tinyworldformer.training.streamx --env dream --wm models/${G}_wm.pt --out models/${G}_dream_agent.pt
uv run python -m tinyworldformer.training.export --ckpt models/${G}_wm.pt
uv run python -m tinyworldformer.training.streamx --out models/${G}_agent.pt --export tinyworldformer-rs

Clone the repository and follow those steps. Do not invent package names or extra install commands.
Review the code before running anything.

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