MaximeRivest/tiny-classifiers
Train a 17M-parameter text classifier in a minute, with labels from a big AI model, and know when it beats an API. Recipe, tutorial, results on 10 tasks, phone trainer.
About the project
Recipe and tutorial for training a compact 17M-parameter text classifier on labels from a large LLM, with evaluation on 10 public tasks and comparison against a classification API.
Useful for
- Train a classifier on your own messages by labeling them with Kimi K3 in minutes
- Compare accuracy and cost of your model against a classification API on 10 tasks
- Run training on a phone GPU via WebGPU in Chrome
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 2 expected by the end of the day.
- The repository is 4 days old and already has 69 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #193.
- Recent forks include notable developers: @mbrukman (391 followers).
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 69
- Today
- 0 · ≈ 2 by evening
- Forks
- 6
- Issues and pull requests
- 0
- Watchers
- 1
- Language
- JavaScript
- License
- MIT
- Created
- September 27, 2026
- Last push
- September 27, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- October 1, 2026Top new repositories this week: #193
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