LFM2.5-VL-3B: Vision-Based Tool Calling in WebGPU

This demo shows Liquid AI's LFM2.5-VL-3B combining visual understanding with tool calling, running fully on-device in the browser with WebGPU. Given an image of a dish and a request for its recipe, the model understands the visual input and decides to call an appropriate search tool. The demo illustrates how LFM2.5-VL-3B can turn information from an image into a structured function call and an actionable workflow. LFM2.5-VL-3B is a 3-billion-parameter general-purpose vision-language model built for fast, real-time, and on-device applications. 🔗 Links: • WebGPU demo: https://huggingface.co/spaces/LiquidAI/LFM2.5-VL-3B-WebGPU • Model: https://huggingface.co/LiquidAI/LFM2.5-VL-3B • Blog post: https://www.liquid.ai/blog/lfm2-5-vl-3b • Documentation: https://docs.liquid.ai/lfm/models/lfm25-vl-3b • Playground: http://playground.liquid.ai/chat?model=lfm2.5-vl-3b Connect with Liquid AI: • Careers: https://www.liquid.ai/careers • Hugging Face: https://huggingface.co/LiquidAI • Discord: https://discord.com/invite/liquid-ai • X: https://x.com/LiquidAI • LinkedIn: https://www.linkedin.com/company/liquid-ai-inc/ • GitHub: https://github.com/Liquid4All/cookbook • Substack: https://liquidai.substack.com/