Archive · · Jun 2026 – Jun 2026 · Updated 23:33 UTC
Archive Every processed story in chronological order, with the newest coverage first. Filter by tag, source, or score to drill in.
Total · all-time 12
Avg score 5.8 ▲ 0.0 vs all tags
Stories / month Peak 7
Jun 25 Sep 25 Dec 25 Mar 26 Jun 26
Filters · 2 tag: fine-tuning × author: u/MajesticAd2862 ×
Category
All categories 1 New Models & Releases 0 Agent Frameworks & Tools 0 Agentic Coding 0 Research Papers 0 Open Source 0 Industry & Business 0 Infrastructure & MLOps 0 Tutorials & How-To 0 Regulation & Safety 0 Applications & Use Cases 1 Opinion & Analysis 0 Community & Events 0 Source kind
Any source kind 1 Primary (vendor) 0 Community (HN, Reddit, X) 1 Research (arXiv) 0 Repos (GitHub) 0 Top authors
Weights & Biases 2 Dragos Roua 1 Hugging Face 1 Kirill Vasilevski, Ximing Dong, Benjamin Rombaut 1 Pu Ning, Quan Chen, Kun Tao 1 Ravidu Suien Rammuni Silva, Ahmad Lotfi, Isibor Kennedy Ihianle 1 Yuanjie Lyu, Chengyu Wang, Haonan Zheng 1 Zhaopei Huang, Yanfeng Jia, Jiayi Zhao 1 Top tags
#benchmarks · 1 #fine-tuning · 1 #medical-asr · 1 #model-release · 1 #open-source · 1
Co-occurring tags
+#benchmarks · 1 +#medical-asr · 1 +#model-release · 1 +#open-source · 1
1 story· Showing 1–1 · Page 1 of 1
W24 1 story · Jun 8–14
Omi Med STT v1 is the best-performing locally-running open model on this benchmark, achieving cloud-competitive M-WER at 0.6B parameters while keeping patient audio entirely on-device.