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ROLL

alibaba/ROLL

Scaling Library for Reinforcement Learning with Large Language Models

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

45views this month

3.4k stars311 forksLast push Sep 6, 2026 Python Apache-2.0

Decision brief

Efficient library for scaling reinforcement learning tasks with large language models; user-friendly setup and debugging tools provided.

Good fit when

  • When developing reinforcement learning applications requiring integration of large language models, offering efficient scalability solutions.
  • For projects needing comprehensive configuration management systems to streamline model deployment.

Avoid when

  • Avoid for tasks that prioritize minimalist setups over advanced feature integrations like Alibaba Cloud Function Compute DevPods.
  • Not suitable if you prefer tools without built-in support for converting models between MCoreAdapter and Hugging Face formats.

Observed Jul 12, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 6, 2026
Provenance
Not a fork · Organization account
As of Sep 6, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for Alibaba. Display-only - separate from trust and ranking.

Company
Alibaba·GitHub org profile·Jul 11, 2026
Commercial model
Pure OSS·GitHub org profile (public repos)·Jul 11, 2026

Install

pip install ROLL
PyPI

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Evidence and technical details

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Overview

Efficient and user-friendly library aimed at facilitating the process of scaling reinforcement learning tasks involving large language models.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Sep 6, 2026

Categories

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README

Quick Start Installation Config System Explanation Debugging Guide Trackers and Metrics Checkpoint Saving and Resuming Guide Converting MCoreAdapter Models to Hugging Face Format Quick Start: Single Node Deployment Guide Quick Start: Multi Node Deployment Guide Quick Start: Using...

For agents

This page has a .md twin and JSON over the API.

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