ludvik/s1 — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2025-02-18
Train your own step-by-step reasoning model instead of relying on a proprietary one.
Download the pretrained 32B model from Hugging Face and run inference with a few lines of code.
Use budget forcing to control how long the model thinks before answering.
Evaluate the model on math or coding problems using the included evaluation scripts.
| ludvik/s1 | 0verflowme/alarm-clock | 0verflowme/seclists | |
|---|---|---|---|
| Language | — | CSS | — |
| Last pushed | 2025-02-18 | 2022-10-03 | 2020-05-03 |
| Maintenance | Stale | Dormant | Dormant |
| Setup difficulty | hard | easy | easy |
| Complexity | 5/5 | 2/5 | 1/5 |
| Audience | researcher | vibe coder | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Training recommends 16 high-end GPUs, inference is easier via Hugging Face.
Trains an AI model to reason step-by-step through hard problems using just 1,000 examples and a technique called budget forcing.
Stale — no commits in 1-2 years (last push 2025-02-18).
Not stated in the explanation.
Setup difficulty is rated hard, with roughly 1day+ to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
double-check against the repo, no cap.