aakaran/finetuning-with-sampling
- Total stars
- 74
- Today · UTC
- +2since 15:03 UTC
More actions
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About the project
Official implementation of Finetuning with Sampling: improving SFT via MCMC sampling of solution traces for chemistry and math tasks. Includes sampling, training, and evaluation scripts.
Useful for
- Run projection sampling on chemistry data via sbatch boost_sci.sh
- Train an SFT checkpoint on generated traces with learning_rate=5e-5
- Evaluate trained model accuracy on chemistry and math tasks
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Star growth looks organic. Data as of October 6, 2026, 17:02 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.
Why it’s trending
- Star-counter measurements on 2026-10-06 (UTC), 15:03–16:57: 72 → 74 stars (+2). This is the change over that interval.
- Estimated end-of-day forecast: about +3 stars, using observed gains and the previous day.
- The repository is 5 days old and already has 74 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #184.
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 74
- Today
- +2 stars measured 2026-10-06, 15:03–16:57 UTC, ≈ 3 by evening
- Forks
- 9
- Issues and pull requests
- 2
- Watchers
- 1
- Language
- Python
- Created
- October 1, 2026
- Last push
- October 5, 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 6, 2026Top new repositories this week: #184
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/aakaran/finetuning-with-sampling)