ludwig
LLM FrameworksDeclarative deep learning framework for training, fine‑tuning, and deploying LLMs, multimodal models, and tabular AI using YAML configs with zero boilerplate Python
Features
- Train and fine‑tune LLMs (e.g., LoRA, PiSSA) via a single YAML configuration
- Support for multimodal vision‑language models with gated cross‑attention
- State‑of‑the‑art time‑series forecasting encoders (PatchTST, N‑BEATS)
- Advanced PEFT adapters including Multi‑adapter merging and 4‑bit QLoRA
- ModelInspector for architecture analysis and feature importance proxy
Recent releases
View all 19 releases →
Review required
v0.17.3
Breaking risk
Dependencies
Breaking upgrade
Dependency bump + AutoML change
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About
Stars
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Languages
Python
Jupyter Notebook
Dockerfile
Install & Platforms
Install via
pip
Platforms
linux
macos
windows
