Intern-Decision

Intern-Decision is a trio of open-weight models from InternLM, sized at 0.8B, 2B and 4B, built to score options rather than write text. Given a shared state, optional images and a list of typed questions, each model returns a probability for every allowed answer rather than writing text. The benchmark figures are the developer's own, and no independent check had been published when the sources were read.

What Intern-Decision offers

• Option scoring: returns probabilities for each permitted answer to every question in a single pass.
• Question types: single choice from a list, yes or no, and scores, all defined in a schema.
• Image input: accepts up to eight images alongside the shared state.
• Routing and triage: suited to routing, triage, moderation and agent decisions made at high volume.
• Self-hosting: runs on a business's own hardware, with training and inference code on GitHub.

Who it serves

Teams that make many automated decisions and want to run the model on their own hardware.

Key facts

• Developer: InternLM.
• Published: 26 September 2026 on Hugging Face.
• Base models: fine-tunes of Alibaba's Qwen3.5 models of the same sizes.
• Licence: Apache 2.0 for the weights, with Qwen's licence kept alongside, which a business should review.
• Input limit: inputs over 8,192 tokens are rejected by default.