RLLM
Agentisches RL auf jedem Harness, mit jedem Backend, auf jedem Benchmark.
Überblick
Anforderungen
Empfohlener VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate-Hinweis
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
rllm:
image: https://github.com/rllm-org/rllm/blob/main/Dockerfile
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/rllm:/data
Verwandte Tools
NextChat
Cross-platform ChatGPT web UI with multi-model support for Ollama, Claude, Gemini, and more
Lobe Chat
Extensible, open-source ChatGPT alternative with plugins, knowledge base, and multi-LLM support
Open WebUI
User-friendly WebUI for LLMs (Ollama, OpenAI API)
text-generation-webui
Run local LLMs with a powerful web interface — text, vision, tool-calling, and OpenAI-compatible API
Streamlit
Build and share data apps in pure Python — fast
Gradio
Build and share delightful machine learning apps in Python
Anleitungen & Artikel
RLLM Tutorial: Train Your First RL Agent in 10 Minutes
A hands-on tutorial: install RLLM, evaluate on GSM8K, define a rollout, write an evaluator, and run your first RL training loop with just a few lines of Python.
RLLM Guide: Training LLM Agents with Open-Source Reinforcement Learning
RLLM is the open-source RL training framework for LLM agents — any harness, any sandbox, any backend. Learn how it democratizes reinforcement learning with 60+ benchmarks and GRPO/REINFORCE support.