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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](https://github.com/Snowflake-Labs/arctic-tilt)
* **Paper:** [Arctic-TILT: Business Document Understanding at Sub-Billion Scale](https://aclanthology.org/2025.acl-industry.20/).

## 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](https://github.com/Snowflake-Labs/arctic-tilt).