Show HN: An offline 0.8B model that ties Gemini Flash on OpenStreetMap questions

Category: ai-ml

Tags: reinforcement-learning, distributed-training, large-language-models, asynchronous-rl, gpu-scaling

Score: 8.0/10 (Innovation: 7, Technical: 9, Documentation: 8, Utility: 8)

prime-rl is a scalable asynchronous reinforcement learning framework designed for training large language models up to 1T+ parameters on 1000+ GPUs. It integrates FSDP2 and vLLM for high-throughput training and inference, supports multimodal models, and provides end-to-end SFT, RL, and evaluation with Slurm deployment.

Target audience: AI researchers, ML engineers, and data scientists working on large-scale model training and reinforcement learning

Repository: https://jonready.com/blog/posts/rl-on-a-0_8b-travel-agent.html · Python · Apache-2.0 · 2186 stars

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