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I trained a 500M VLM that answers typed questions about an image (choice / score / yes-no) with calibrated probabilities. ~400 ms on an M1 Pro, no text generation [P]

My apps kept needing a handful of decisions about one image: what kind of image is it, is it sharp, is a person in it, which of these four descriptions fits. A generative VLM can answer that, but on a laptop it's slow, I have to parse its output, and its confidence isn't a probability. So I built p…

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Timeline · 2 reports

  1. 2026-09-27 08:53 · r/deeplearning
    I trained a 500M VLM that answers typed questions about an image (choice / score / yes-no) with calibrated probabilities. ~400 ms on an M1 Pro, no text generation
  2. 2026-09-27 08:46 · r/MachineLearning
    I trained a 500M VLM that answers typed questions about an image (choice / score / yes-no) with calibrated probabilities. ~400 ms on an M1 Pro, no text generation [P]

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