OpenTSLM: How a 1-Billion-Parameter Model Outperforms GPT-4o on ECG Interpretation

  “While GPT-4o is still treating heartbeats as pixel art, Stanford has taught a 1-billion-parameter Llama to read 12-lead ECGs—cutting VRAM by 70 % and quadrupling F1, while printing a discharge summary with human-like reasoning.” TL;DR Reproduce in minutes: one Docker command turns a 1 B Llama into a “time-series specialist” that ingests ECG, EEG or accelerometer data of any length. Deploy today: Gradio demo + CUDA/Mac MPS image included; offline hospital-ready pipeline in < 30 min. Hack freely: open-source CoT datasets + training scripts; swap two lines to stream glucose, BP or industrial sensors. Introduction | Why Your LLM …