Model Detail

Hulu-Med-235A22 is a multimodal model with 117.8B parameters released by ZJU-AI4H. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Hulu-Med-235A22 ships with 117.8B parameters. Total weight footprint is approximately 235.7 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Hulu-Med-235A22 is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.