NVIDIA-NeMo/Gym
Evaluate and improve models and agents using environments
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SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #28 among LLM repositories tracked this week, and #28 over the last 30 days; #585 of 3,103 repositories GStars tracks this week (top 19%).
4 releases in the last 90 days, the latest 1 day ago, with 186 contributors on GitHub.
Use Cases & Benefits
- Provides a library to build and evaluate reinforcement learning environments tailored for large language models.
- Offers scalable infrastructure and reusable patterns to accelerate environment development and seamless integration with RL training frameworks.
- Use for developing multi-step, multi-turn RL training environments involving user modeling scenarios for LLMs.
- Use for benchmarking and improving instruction-following capabilities in language models with curated datasets and resource servers.
- Use for creating custom RL environments that integrate external tools and verification logic without deep RL loop expertise.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
NeMo Gym is a library for building reinforcement learning (RL) training environments for large language models (LLMs). It provides infrastructure to develop environments, scale rollout collection, and integrate seamlessly with your preferred training framework.
NeMo Gym is a component of the NVIDIA NeMo Framework, NVIDIA’s GPU-accelerated platform for building and training generative AI models.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
392+164
Open issues
1.2K+668
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| DietrichGebert/ponytail | 175.5K | +9.9K | 75 | 8 days ago |
| xerj-org/xerj | 15.3K | +7.8K | 75 | today |
| affaan-m/ECC | 288.1K | +6.4K | 75 | 23 days ago |
| tashfeenahmed/freellmapi | 41.0K | +4.1K | 75 | 1 day ago |
| JuliusBrussee/caveman | 114.8K | +2.2K | 75 | 1 day ago |
| NVIDIA-NeMo/Gym | 1.2K | +0 | 75 | 1 day ago |
| Category median | 114.8K | +6.4K | 75 | — |
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