allenai/Olmo-core
PyTorch building blocks for the OLMo ecosystem
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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 #140 among Backend repositories tracked this week, and #140 over the last 30 days; #579 of 3,103 repositories GStars tracks this week (top 19%).
2 releases in the last 90 days, the latest 13 days ago, with 38 contributors on GitHub.
Use Cases & Benefits
- Provides PyTorch building blocks for modeling and training large language models in the OLMo ecosystem.
- Enables efficient training and inference of state-of-the-art OLMo models with modular, extensible components and optimized backends.
- Use for developing and training custom OLMo-based large language models with official scripts and flexible configuration.
- Use for running high-throughput inference on OLMo models via Hugging Face Transformers or vLLM integration.
- Use for interactive autoregressive text generation and chat sessions directly through Olmo-core's built-in generation tools.
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
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Building blocks for OLMo modeling and training
First install PyTorch according to the instructions specific to your operating system and hardware.
For development, we recommend installing from source:
There are a number of optional dependencies that must be installed to use certain functionality as well, including:
The published Docker images contain all core and optional dependencies, and are regularly tested on our in-house H100 clusters. But there are several things to keep in mind if you intend to use these images:
If the published images do not work for your use-case for any of the above reasons, you could adapt our Dockerfile to build your own images.
Official training scripts for released models can be found in
src/scripts/official/.These scripts are meant to be launched with
torchrun, or with OLMo-core's Beaker launch CLI if you have access to Beaker.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
345+56
Open issues
140+52
Compared with peers in Backend
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 |
|---|---|---|---|---|
| anthropics/claude-plugins-official | 44.4K | +4.3K | 75 | — |
| NationalSecurityAgency/ghidra | 94.0K | +4.2K | 75 | 2 days ago |
| akitaonrails/ai-memory | 13.3K | +3.4K | 75 | 2 days ago |
| K-Dense-AI/scientific-agent-skills | 54.2K | +3.1K | 75 | 22 days ago |
| shiyu-coder/Kronos | 43.6K | +2.7K | 75 | — |
| allenai/Olmo-core | 1.7K | +0 | 75 | 13 days ago |
| Category median | 44.4K | +3.4K | 75 | — |
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