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Health Intelligence Lab @ UCLA

yang-ai-lab

AI for Health

Models in Library1
Datasets in Library0
Models on Hugging Face5
Followers20

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Question answering.

Reported licenses: mit. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Question answering

OpenSLA

Health Intelligence Lab @ UCLA

[2026-10-06] Our paper is available on arXiv. - [2026-10-06] Code released on GitHub, and model released on HuggingFace. - [2026-10-06] Project website is live! OpenSLA is a new family of models - Sensor-Langauge-Action (SLA) models. It takes a multi-channel sensor history together with language context and produces a structured action prediction and a sensor-state caption. We release prompt as a flat token prefix. the signal into local, per-channel, and global memory tokens. - Python >= 3.10 - PyTorch >= 2.5 - Transformers >= 5.8.1 (for the Qwen3.5 backbone) - PEFT >= 0.12 demo.ipynb loads a checkpoint, builds an input batch, and runs prediction. Download the files from this repository and…

Open weights mit pytorch