smol-ai/smol-course
A hands-on course on aligning small language models.
Project health
5-dimension weighted (commit / issue / PR / release / maintainer). 0 = healthiest.
- Commit freshnessCollecting data
- Issue responsiveness (7d)Collecting data
- PR merge activity (7d)60/100
- Release cadence0/100
- Maintainer visibility0/100
Project maturity
Community-recognized, production-ready, well-documented.
- Stars75/100
- Age25/100
- Contributors100/100
- Releases (12m)0/100
Decision evidence(1 item · expand)
- 6400★ / 138d / 580 contributors / 0 releases in the last 12m
Tiered on 6400★ / 138d / 0 contributors / 0 releases in 12m.
Why PopScore is 46?
Weighted formula · each factor scored 0-100
- Star Velocity(35%)100/ 100·+35.0
- Fork Engagement(20%)8/ 100·+1.6
- Activity(25%)0/ 100·+0.0
- Mentions(10%)50/ 100·+5.0
- Quality Filter(10%)48/ 100·+4.8
PopScore = Σ (factor × weight) = 35.0 + 1.6 + 0.0 + 5.0 + 4.8 ≈ 46
Hands-on, code-first course for aligning small LLMs (SFT + DPO + eval) on a single GPU.
- 1End-to-end SFT + DPO + eval pipeline
- 2Single-GPU friendly (A100 / 4090)
- 3Reproducible notebooks, no proprietary data
Best for: ML engineers wanting to fine-tune small models without a research cluster.
Difficulty: ★★★★★
Star trajectory (last 3 days)
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Showing all available data — this project was first tracked 3 days ago. Longer ranges will appear as more history accumulates.
Embeddable SVG API: /api/chart?repos=smol-ai/smol-course&layout=rel&days=180
Activity in the last 7 days
Source: GitHub events API
- Commits0
- PRs merged0
- Issues opened0
- Issues closed0
External mentions
HN · Reddit · Lobsters — last 30 days
No mentions in the last 30 days.
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Activity
- 0 commits (7d)
- 0 PRs merged (7d)
- Created 2026-04-12
- Pushed 13d ago