metadata

pipeline_tag: question-answering

Arctic-TILT

Arctic-TILT is a state-of-the-art, sub-billion parameter model for Document Understanding. It is designed for high efficiency and long-context processing, achieving performance on par with models 1000x its size on a single 24GB GPU.

GitHub Repository (Code & Examples): Snowflake-Labs/arctic-tilt
Paper: Arctic-TILT: Business Document Understanding at Sub-Billion Scale.

Model Details

Model type: Encoder-Decoder Transformer
Parameters: 822M
Core Task: Document AI (Question Answering, Key Information Extraction)

How to Use

This model is optimized for use with vLLM and requires a custom scheduler and preprocessor. The TiltPreprocessor is available in the GitHub repository.