Detailed Introduction
xLLM is an open-source framework for vision-language models, offering training, fine-tuning, and inference tooling with documentation and examples to help research and engineering teams build multimodal systems.
Main Features
- Supports joint training and inference pipelines for vision-language tasks.
- Provides multimodal data processing and evaluation tools.
- Comprehensive ReadTheDocs documentation and example code for engineering adoption.
Use Cases
Suitable for research and product teams building visual question answering, image captioning, and multimodal retrieval systems.
Technical Features
Focuses on multimodal feature fusion and cross-modal alignment, offering extensible model components and training strategies for large-scale training and fine-tuning.