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ROLL

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This project does not currently meet the main index requirement of two current dimensions across two source types.

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Observed adoptionMissing
MomentumCurrent · 2026-09-12
12
AttentionCurrent · 2026-09-12
18
Signal confidence Based on how many independent score dimensions currently have data.
Medium2/3 · 1 source types

Methodology v2.0 · snapshot 2026-09-12 · stale after 2 days

About

🚀 An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models 🚀

ROLL is an efficient and user-friendly RL library designed for Large Language Models (LLMs) utilizing Large Scale GPU resources. It significantly enhances LLM performance in key areas such as human preference alignment, complex reasoning, and multi-turn agentic interaction scenarios.

Leveraging a multi-role distributed architecture with Ray for flexible resource allocation and heterogeneous task scheduling, ROLL integrates cutting-edge technologies like Megatron-Core, SGLang and vLLM to accelerate model training and inference.

| [16/06/2026] 🎉 Our OSDI’26 RollArt paper is now…

Across sources

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