nano-aha-moment
Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"
McGill-NLP/nano-aha-moment
View on GitHub ↗Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"
nano-aha-moment grew +1.3% in the last 30 days, ranks 91st of 347 in Training Toolkits, last commit 383 days ago.
Star trajectory
116 days tracked2026-07-02639 stars today2026-10-26
Momentum
+1.3% in 30d, above the Training Toolkits median of +0.0%.
Maintenance
Last commit 383 days ago, staler than the median of 227d.
How it compares in Training Toolkits
nano-aha-moment
639
stars
+1.3% 30d
commit 383 days ago
Training Toolkits median
325
stars
+0.0% 30d
commit ~227d ago
Leader · TTS
46.1k
stars
+0.2% 30d
commit 801 days ago
Ranked 91st of 347 by stars.
red-ai-studio/Relax655-16redai-studio/Relax655-16
McGill-NLP/nano-aha-moment639
HowieHwong/TrustLLM632+7omriav/blended-latent-diffusion631+8- Language
- Jupyter Notebook
- License
- MIT License
- Contributors
- 5
- Forks
- 59
- Watchers
- 9
- Open issues
- 4
- Releases
- 0
- Created
- 2025-02-25
- Stars this week
- +1
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