prime-rl
prime-rl is a research stack maintained by Prime Intellect12. Its source code is public12 under the Apache License 2.021.
prime-rl is Prime Intellect's open-source framework for large-scale, asynchronous reinforcement learning and supervised fine-tuning of language models. It separates an FSDP2-based trainer, a vLLM inference service, and an orchestrator that gathers rollouts from verifiers environments, and it supports multi-node deployment on Slurm and Kubernetes.15
- Repository: GitHub repository (external site: github.com)
- License: License (Apache 2.0) (external site: github.com)
- Paper: INTELLECT-3 technical report (arXiv 2512.16144) (external site: arxiv.org)
Availability and license
Overall availability
Documented as available to the general public. Access conditions and license terms may still apply.12
Availability is separate from permission: read the license before using or redistributing.
Apache License 2.0 (external site: raw.githubusercontent.com)21
Plain-language guide to the Apache License 2.0
The Apache 2.0 license covers the prime-rl repository. The verifiers library it integrates with is a separate Prime Intellect repository under the MIT License. This record does not assess the licenses of models or environments trained or used with prime-rl.23
Component reuse rights
- weights
- Unknown — no complete fact-level rights review
- code
- Unknown — no complete fact-level rights review
- data
- Unknown — no complete fact-level rights review
- documentation
- Unknown — no complete fact-level rights review
No complete system-rights review is recorded for this release.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| Source codeIs the source code publicly readable? | Public | Public GitHub repository under the Apache License 2.0.12 |
| DocumentationIs user documentation published? | Public | The repository's docs directory covers architecture, configuration, training, evaluation, scaling, algorithms, and development, and Prime Intellect's documentation site has a prime-rl section.14 |
| Training codeDoes it include code for training models? | Public | Includes trainers for SFT and RL plus evaluation tooling, with optimized training code for selected model families.1 |
| Data informationAre the data it expects or ships with documented? | Public | The README describes training on verifiers environments, installed from the Environments Hub or as opt-in workspace packages, and walks through example tasks such as text reversal, Wordle, and Wikipedia search.1 |
| ReproducibilityAre instructions for reproducing reported results published? | Partial | The README gives setup checks and end-to-end example runs, from small single-GPU tasks to Slurm-based training of larger models. A step-by-step reproduction of the INTELLECT-3 run was not found in the repository.1 |
What it is useful for
Run and use notes
- The README states that at least one NVIDIA GPU is required, that the project is developed and tested on NVIDIA RTX 3090/4090/5090, A100, H100, H200, and B200 GPUs, and that setup uses uv with Python 3.12.1
Organization context
In the news
Prime Intellect releases prime-rl 0.8.0 with multi-agent reinforcement learning support
Prime Intellect published version 0.8.0 of prime-rl on GitHub on August 7, 2026. The release notes say it integrates verifiers 0.3.0 for multi-agent (single-policy) training and adds two named algorithms for multi-agent environments: RAE (Role-conditioned Advantage Estimation) and Hierarchical GRPO. The notes also list a move of the inference stack to vLLM 0.26.0, a NIXL and ModelExpress weight-synchronization path, and ZMQ as the default rollout transport. USASI has not tested this release.
U.S. eligibility
Eligible · basis: U.S.-governed project
The repository is maintained in Prime Intellect's GitHub organization, its README cites Prime Intellect as author, and the INTELLECT-3 report introduces it as Prime Intellect's framework. Prime Intellect, Inc. is a Delaware corporation with U.S. locations (see the prime-intellect record).157
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
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Cite this page
APA style
USASI. (2026, September 29). prime-rl. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/prime-rl/
BibTeX
@misc{usasi_prime_rl,
author = {{USASI}},
title = {prime-rl},
year = {2026},
month = sep,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/prime-rl/}},
note = {United States of America Superintelligence. Last updated 2026-09-29}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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