LFM2.5-VL-3B recognizes Steve from Minecraft running locally on an iPhone 17

Reddit r/LocalLLaMA Models
vision-model liquid-ai on-device local-inference benchmarks

Summary

Liquid AI released LFM2.5-VL-3B, a 3.1B vision model that runs locally on an iPhone 17 and can recognize objects like a Steve toy from Minecraft, with significantly improved spatial grounding (ScreenSpot-v2 desktop from 6 to 78.7).

Liquid AI put out LFM2.5-VL-3B today, which is a 3.1B vision model that weighs roughly 2GB and fits well on a phone Benchmarks are benchmarks so I tried something sillier. Took a photo of a little Steve toy I have, gave it to the model and asked it what it was looking at It ended up thinking for around 2 minutes and 31 seconds on an iPhone 17, which is a bit too lengthy, but it did end up recognizing Steve and gave a detailed description of him The main diff from the last gen is that it got much better at spotting where things are. ScreenSpot-v2 desktop went from 6 to 78.7. That's why it describes Steve part by part rather than just naming him LFM2.5-VL-3B HF card: https://huggingface.co/LiquidAI/LFM2.5-VL-3B The model was run through atomic.chat mobile app (I'm the founder, so any feedback is welcome)
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