# MANTA decision model by Gevaert Lab > MANTA reads medical text and images in two open model sizes. Check its research use guidance, package limits and maker-reported evaluations. Updated 2026-11-12 (Australia/Adelaide) ## Quick answers ### What is MANTA by Gevaert Lab? [MANTA](): Medical decision models in two sizes, built on Qwen3.5-4B and Qwen3.8-27B with a trained decision head. [MANTA facts]() [Source]() ### Who makes MANTA? [MANTA](): Gevaert Lab [MANTA facts]() [Source]() By Gevaert Lab · Hugging Face weight release: 2026-11-10 · OPEN Medical decision models in two sizes, built on Qwen3.5-4B and Qwen3.8-27B with a trained decision head. They read text and images and return probabilities for each supplied option. These are research models; the card requires independent validation and clinician review before patient decisions. ## Facts - Sizes: 4B and 27B backbones; the 4B package stores 5,287,287,300 parameters, including a copy of the tied output embedding - Inputs: Text or JSON with optional images; up to 64 questions and 4,096 prompt tokens - Access: BF16 weights, custom Transformers code and a Python request wrapper - Licence: Apache-2.0 files included; source datasets retain their own terms - Memory: The maker reports about 16 GB GPU memory for 4B and 60 GB for 27B ## Claims and sources - **VENDOR-REPORTED**: The maker reports 86.1% accuracy for both sizes on the same 6,700-question medical comparison subset. On its 554 out-of-domain questions, 4B scores 71.5% and 27B 74.4%. These are constructed benchmark questions, not prospective patient outcomes. [source]() - **VENDOR-REPORTED**: The maker reports median request latency of 68 ms for 4B and 148 ms for 27B on one H100 at batch size 1. Hosted-model timings in the card exclude client networking, so they are not end-to-end comparisons. [source]() ## Links - [Source: 4B card and weights]() - [Source: 27B card and weights]() - [Source: 4B configuration]() - [Source: Licence]() ## Related projects No related projects are listed in the registry.