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LiquidAI/LFM2.5-VL-1.6B-WebGPU

sourceHugging Faceupdated 9mo agoView on Hugging Face
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App README

LFM2.5-VL-1.6B WebGPU Demo

In-browser vision-language inference with LFM2.5-VL-1.6B, powered by ONNX Runtime and WebGPU.

Everything runs entirely in your browser with WebGPU acceleration - no data is sent to a server.

Features

  • —Live Webcam Captioning: Stream from your webcam with real-time AI-generated captions
  • —Multiple Quantization Options: Choose between Q4/Q4 (~1.5 GB), Q4/FP16 (~2.3 GB), or FP16/FP16 (~3.2 GB)
  • —Browser Caching: Models are cached locally after first download for faster subsequent loads
  • —Adjustable Resolution: Configure capture resolution (256-512px) for performance tuning

Requirements

  • —WebGPU-enabled browser
  • —~2-4 GB memory depending on quantization choice
  • —Webcam access for live captioning