mint-medmax/medmax_data
MedMax Dataset Mixed-Modal Instruction Tuning for Training Biomedical Assistants Authors: Hritik Bansal, Daniel Israel†, Siyan Zhao†, Shufan Li, Tung Nguyen, Aditya GroverInstitution: University of California, Los Angeles† Equal Contribution Paper | Code | Project Page Overview Large Language Models (LLMs) and Large Multimodal Models (LMMs) have demonstrated remarkable capabilities in multimodal information integration, opening transformative… See the full description on the dataset page: https://huggingface.co/datasets/mint-medmax/medmax_data.
| Author / organization | mint-medmax |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 691 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 13 December 2024 |
| Last updated at source | 19 July 2025 |
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Connected in the knowledge graph
- mradermacher/MadriMed-VL-2B-enc-GGUFModel · used to train
- madrisight/MadriMed-VL-2BModel · used to train
- mradermacher/MadriMed-VL-2B-GGUFModel · used to train
Recent changes
- 17 Oct 2026 Description: MedMax Dataset Mixed-Modal Instruction Tuning for Training Biomedical Assistants Authors: Hritik Bansal, Daniel Israel†, Siyan Zhao†, Shufan Li, Tung Nguyen, Aditya GroverInstitution: University of California, Los Angeles† Equal Contributio → MedMax Dataset Mixed-Modal Instruction Tuning for Training Biomedical Assistants Authors: Hritik Bansal, Daniel Israel†, Siyan Zhao†, Shufan Li, Tung Nguyen, Aditya GroverInstitution: University of California, Los Angeles† Equal Contributio
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