// Train & fine-tune
distilabel1.5.3
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Open source Maintained For developers
IN ONE PARAGRAPH
distilabel is distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Good for: Developers and teams who want to train & fine-tune.
01How to start
- 1Read the official quick-start (link above).
- 2Install or sign up as the official guide describes.
- 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → 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 trainer Distributed AI Model Training and LLM Fine-Tuning on Kubernetes ★ 2.2k LlamaFactory Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) ★ 76k pytorch-lightning Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. ★ 31k datasets 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools ★ 22k