Developed for the MedGemma Impact Challenge, Project Aceso focuses on edge-AI deployment for clinical assistants. The Q5_K_XL quantization was chosen to preserve maximum medical reasoning capability for SBAR generation while remaining within the memory constraints of a mobile device.
Credits & Licensing
Weights: Provided by Google Health / DeepMind under the Health AI Developer Foundations license.
NOT FOR CLINICAL USE. This model is a technical demonstration for research and competition purposes. It should not be used for diagnosis, treatment, or clinical decision-making.
