omni-d1 600M by Liquid AI running in the browser using WebGPU

Liquid AI has released omni-d1 600M, a decision model that has been ported to run in the browser using WebGPU. This implementation utilizes runtime, a WebGPU inference library written in plain TypeScript on top of TypeGPU, without WASM or an export step. The model's core operations, such as matmul, attention, and norms, are directly implemented, and weights are loaded from HF safetensors.

This report uniquely details the first successful port of EmbeddingGemma 2's vision tower to WebGPU, enabling in-browser, GPU-accelerated image-text retrieval.