automation

Rllm

Democratizing Reinforcement Learning for LLMs
5,816 stars614 forksPythonUpdated 9/6/2026100% free · open source
What it does

RLLM enables reinforcement learning for large language models, allowing founders to fine-tune models for specific tasks and improve their performance

When to use it
  • When you need to adapt a pre-trained language model to a custom task or dataset
  • When you want to improve the performance of a language model on a specific task or metric
  • When you need to integrate reinforcement learning with other machine learning workflows
Ready-to-paste prompt
python rllm/train.py --model-name t5-base --task-name sentiment-analysis --num-epochs 5 --batch-size 16
Heads up: Make sure you have the correct version of Python and the required dependencies installed, as specified in the README, and that you have a compatible GPU available for accelerated training
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/rllm && curl -fsSL https://workflowstacks.com/api/skills/rllm/claude-skill -o ~/.claude/skills/rllm/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
rllm-org
Language
Python
Category
automation
Published
1/26/2025

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