PRIME-RL/PRIME

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1872 stars · 115 forks observed · 2026-09-25

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PRIME (Process Reinforcement through Implicit Rewards) is an open-source Python framework for online reinforcement learning with process rewards to improve language model reasoning. It provides training, data preprocessing, and evaluation code, and has been integrated into the veRL framework.

Use cases

• train language models with reinforcement learning for math reasoning
• run online RL with process rewards on LLMs
• reproduce PRIME paper results on reasoning benchmarks
• preprocess math datasets for RL training
• train implicit process reward models
• improve LLM reasoning beyond distillation

When to choose

• you want to apply process-based RL to improve LLM reasoning
• you need an open-source, scalable RL training pipeline for language models
• you want to reproduce or build on the PRIME research results

When to avoid

• you only need inference or serving of LLMs without training
• you need a simple supervised fine-tuning pipeline without RL
• you lack multi-GPU infrastructure for large-scale training

Facets

library · maturity active

llm-training reinforcement-learning machine-learning large-language-models machine-learning artificial-intelligence python rlhf process-reward-model reasoning implicit-rewards verl gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PRIME-RL/PRIME")