// Train & fine-tune
verlv0.9.1
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
Open source Maintained For developers
IN ONE PARAGRAPH
verl is verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework .
Good for: Developers and teams who want to train & fine-tune.
01How to start
- 1Read the official quick-start (link above).
- 2Install from the official package registry:
pip install verl - 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → PyTorch Tensors and Dynamic neural networks in Python with strong GPU acceleration ★ 105k tensorflow An Open Source Machine Learning Framework for Everyone ★ 201k transformers 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. ★ 168k unsloth Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more. ★ 78k LlamaFactory Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) ★ 76k