Only 2nd <13GB model to one-shot the Heptagon-Tumbler

#12
by BingoBird - opened

I tested 87 recent models under 13GB total filesize. This is only the second model to succeed [one-shot] at the Heptagon-Tumbler challenge posted 1 year ago on reddit.

gemma-4-26B-A4B-it-UD-IQ4_XS.gguf solved the heptagon-tumbler challenge:

Write a python program that shows a graphical animated rendition of 20 balls bouncing inside a spinning hollow heptagon:

All balls have the same radius.

All balls drop from the heptagon center when starting.

Colors are: #f8b862, #f6ad49, #f39800, #f08300, #ec6d51, #ee7948, #ed6d3d, #ec6800, #ec6800, #ee7800, #eb6238, #ea5506, #ea5506, #eb6101, #e49e61, #e45e32, #e17b34, #dd7a56, #db8449, #d66a35

The balls should be affected by gravity and friction, and they must be contained within the area of the heptagon by physical collision detection, making the balls bounce off the rotating walls realistically. There should also be collisions between balls.

The heptagon is spinning around its center, rotating a full cycle once every 5 seconds.

The heptagon size should be large enough to contain all the balls.

Do not use the pygame library; implement collision detection algorithms and collision response etc. by yourself. The following python libraries are allowed: tkinter, math, numpy, dataclasses, typing, sys.

All program code should be put in a single python file, with shebang for execution from bash shell.

https://x0.at/ZdYB.py

Out of 87 tested <13GB models, this is only the second one to pass the test.

The other model was ByteShape's Qwen3-Coder-30B-A3B-Instruct-Q3_K_S-2.69bpw.gguf

Surprised and impressed at this result.

Unsloth AI org

Thanks for testing and for your awesome results!

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