MakazhanAlpamys/Soup
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
About the project
A CLI tool for fine-tuning and post-training LLMs from a single YAML config, with layer streaming that lets an 8B model train on a 4 GB laptop GPU.
Useful for
- Run QLoRA fine-tuning from a single soup.yaml without setting up infrastructure
- Train an 8B model locally on a 4 GB laptop GPU via stream_layers
- Validate a config with soup doctor before starting a training run
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 32 stars so far today, about 39 expected by the end of the day.
- Interest is fading: the two-day pace is 42% of the previous week and a half.
- About 12 forks a day — people are taking the code.
- Recent forks include notable developers: @snoopysecurity (510 followers).
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 6,808
- Stars in a day
- 39
- Forks
- 1,069
- Issues and pull requests
- 1,071
- Watchers
- 49
- Language
- Python
- License
- Apache-2.0
- Latest release
- v0.75.0 · September 12, 2026
- Created
- February 20, 2026
- Last push
- September 18, 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
- September 17, 2026GitHub Trending Python today: #14, +104 stars
- September 16, 2026GitHub Trending Python today: #14, +119 stars
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