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LFM2-MoE: An 8.3B Parameter Language Model Running Entirely in Your Browser via WebGPU
Liquid AI's LFM2-MoE loads 8.3B parameters (1.5B active) and generates text client-side through WebGPU. No server, no API key. A hybrid convolution-attention architecture running Mixture-of-Experts inference in a browser tab, powered by Transformers.js.
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Google Brings LiteRT Inference to the Browser With WebGPU
Google has brought its LiteRT on-device inference stack to the browser, with XNNPACK on CPU, ML Drift over WebGPU, and experimental WebNN support for NPUs.
- Showcase
Gauzilla Pro: Web-Native Gaussian Splatting for 4D Digital Twins
A browser-based platform turning drone footage and smartphone video into photorealistic 3D scenes with AI-powered segmentation. Built on an open-source Rust/WASM renderer, no installs required. Construction teams are already using it for as-built documentation.