File size: 2,420 Bytes
8d66bdb f36bdf8 8d66bdb f36bdf8 8d66bdb cdf917d 739be31 f36bdf8 8d66bdb f36bdf8 8d66bdb f36bdf8 8d66bdb f36bdf8 8d66bdb f36bdf8 8d66bdb f36bdf8 8d66bdb f36bdf8 8d66bdb f36bdf8 8d66bdb f36bdf8 8d66bdb cdf917d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | # WeeMed AI
**Building a globally standardized, AI-driven digital health and long-term care platform for aging societies.**
FHIR-first. Integrated health data, intelligent decision support, personalized preventive medicine — deployed in real clinics, health-screening centers, and community long-term care sites in Taiwan.
> **AI accelerates digitization; it isn't the product.**
Based in Taichung, Taiwan.
<!-- PENDING APPROVAL from Prof. Chuan-Yu Chang before publishing:
A spin-off of the Medical Image Processing Laboratory (MIPL), National Yunlin
University of Science and Technology. -->
---
## What we release here
We ship models that fall out of real deployment problems, and we publish the **measurements**, not just the weights.
### 🎙️ Breeze-ASR-26 — Taigi + Mandarin ASR for the edge
Quantized redistributions of [MediaTek-Research/Breeze-ASR-26](https://huggingface.co/MediaTek-Research/Breeze-ASR-26) (Apache-2.0) in three runtimes — pick by your constraint:
| Repo | Runtime | Peak RSS | RTF (CPU) | Best for |
|---|---|---|---|---|
| [Breeze-ASR-26-ct2](https://huggingface.co/weemed/Breeze-ASR-26-ct2) | faster-whisper | ~2.9 GB | **0.21** | servers, GPU, 8 GB+ hosts |
| [Breeze-ASR-26-GGML](https://huggingface.co/weemed/Breeze-ASR-26-GGML) | whisper.cpp / MacWhisper | **1.85 GB** | 0.40 | 4 GB hosts, desktop apps |
| [Breeze-ASR-26-ONNX](https://huggingface.co/weemed/Breeze-ASR-26-ONNX) | sherpa-onnx | — | 1.3 | Android / iOS / WASM |
Measured on real multi-speaker Mandarin meeting audio. Mandarin does not regress; Taigi is transcribed as Mandarin meaning, not verbatim Taigi characters.
---
## Why this matters to us
Taiwan is aging fast, and the people doing the caring — nurses at screening centers, care managers at community sites, elders themselves — mostly do not speak in written Mandarin. They speak **Taigi**, in noisy rooms, on tablets held in one hand. Health tech that only understands clean written Mandarin does not meet them where they are.
---
## How we publish
- **Honest benchmarks.** We report the number that survives scrutiny, including when it kills our own hypothesis.
- **Named gaps.** What we could not measure is written down as an open gap, not omitted.
- **Real audio, real clinics.** Benchmarks on synthetic data only tell you about synthetic data.
---
<sub>Apache-2.0 unless stated otherwise · Made in Taichung, Taiwan</sub>
|