# Shanghai AI Laboratory releases Intern-Decision, multimodal decision models from 0.8B to 4B

> Intern-Decision-4B is fine-tuned from Qwen3.5-4B and answers up to 16 questions per pass, with image input. Apache-2.0.

Published 2026-09-26

Canonical: https://shipped.anth.us/decisions/internlm-intern-decision/

Shanghai AI Laboratory published the Intern-Decision family on Hugging Face in late September 2026. The 4B repository was created on 26 September; the card gives no release date, so that is the date used here. Sizes visible on the Hub include 0.8B, 2B and 4B.

The 4B card describes a multimodal structured decision model fine-tuned from Qwen3.5-4B. It takes a shared state, named questions and optional images, and returns an answer distribution for every question in one forward pass. Limits are up to 16 questions, 62 options per question, 8 images and an 8,192-token input.

The licence is tagged Apache-2.0. The card says the original Qwen licence is kept as LICENSE-QWEN and upstream notices must be retained on redistribution. A demo Space, a weights collection and a GitHub repo are linked.

The card reports Jevbench Easy, Original and Hard at 100.00, 98.61 and 73.87, a Typed Decision score of 80.55, and an average of 90.02. It reports Brier 0.347 and ECE 0.065, and a mean latency of 44.16 ms on one RTX 4090.

Easy at 100 means the easy set is solved. The Hard number is the one to read.

## Sources
- https://huggingface.co/internlm/Intern-Decision-4B

## Editor's first pass (AI-assisted)
- Real 4: Weights, a demo Space and GitHub are linked on the card.
- Useful 3.5: Small enough to run locally; image input is a plus over text-only peers.
- Notable 3: A major open lab entering the category.
- Novel 3: Same decision format; multimodal input is the difference.