Model Golf Is A Thing Now And Yes It Is Totally Original

I am starting a competition. It is called Model Golf. It is totally original. The name is not a reference to any other parameter efficiency challenges that may or may not exist. The concept is not inspired by any other tiny model competitions. This is a fresh idea. Completely fresh. Please do not investigate further.

Sometimes the best way to innovate is to rename an existing concept and add a monthly prize. Sometimes the prize is fifty dollars in cloud credits. Sometimes that is enough.

The Premise

Model Golf is a monthly competition. Anyone can participate. The goal is simple. Build the best language model under 100 million parameters with a minimum context of 1028 tokens. The winner receives fifty dollars in RunPod credits. The only requirement is that the submission must be open source.

Nobody really does this on Kaggle. Kaggle focuses on datasets and fixed architectures. Model Golf focuses on architectural creativity within tight constraints. The difference is intentional. The niche is deliberate. The opportunity is real.

The Rules

The rules are simple because complexity discourages participation. Here is what you need to know.

Fully custom models are allowed. You do not need to support existing inference platforms. You can use novel architectures. You can experiment with unusual tokenization schemes. You can try approaches that have never been tried before. That is the point.

AI assistance is permitted up to forty five percent of the work. Planning, test generation, documentation drafting, and code scaffolding all count toward that limit. The core architecture and training logic must be your own. That balance encourages innovation while preventing full automation.

Why This Matters

Parameter efficiency matters. Small models can run on consumer hardware. Small models can be deployed at the edge. Small models can be fine tuned by individuals. Model Golf encourages research in this space. It rewards creativity within constraints. It makes efficiency competitive.

The fifty dollar prize is symbolic. It is not life changing money. It is enough to cover a few hours of GPU time. It is enough to show appreciation. It is enough to motivate participation without attracting purely mercenary entrants.

Competitions work best when the prize motivates the right people. Fifty dollars attracts enthusiasts. Enthusiasts build interesting things. Interesting things advance the field.

How To Participate

Watch for updates. I am still finalizing the submission process. I am still defining the evaluation metrics. I am still deciding whether to use Wikitext, a custom benchmark, or a combination of both. The details will appear on this blog and in the Discord server.

When the first competition launches, you will submit a link to your open source repository. You will include a brief description of your approach. You will specify your parameter count and context window. The submissions will be evaluated. The winner will be announced. The credits will be distributed.

What I Hope To See

I hope to see novel architectures. I hope to see clever training techniques. I hope to see models that punch above their weight class. I hope to see approaches that I have not considered. I hope to learn from the submissions. That is the real prize.

I also hope to see honest documentation. I hope to see reproducible results. I hope to see failures logged alongside successes. That transparency advances the field more than any single winning model. That transparency is what Model Golf should encourage.

Final Thoughts

Model Golf is happening. It is monthly. It is open to anyone. It offers fifty dollars in RunPod credits. It requires open source submissions. It is totally original. Please do not investigate the name origin.

I am making this. Watch for updates. Watch for the launch. Watch for your chance to compete. Watch for the chance to build something small that does something big.

Efficiency is a constraint. Creativity is the solution. Competition is the catalyst. Model Golf is the venue. I will see you there.

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