Liquid AI's LFM3-Omni-2B runs fully local in the browser via WebGPU
10/31/2026 — 10/31, 01:18·1 sources (all)·1 reports (all)
Key takeaways
- Liquid AI's LFM3-Omni-2B can run entirely locally in a browser via WebGPU, taking visual, audio or text input and emitting interleaved text…
Background & analysis
On 2026-10-31, a post appeared in Reddit's LocalLLaMA community describing a Liquid AI model. According to the post, LFM3-Omni-2B can run completely locally in a browser through WebGPU, end-to-end, with no separate ASR or TTS models required. The model accepts visual, audio, or text input and produces interleaved text and audio tokens. The poster reported roughly 280 tok/s on an M4 Max, with 90 ms to the first token and 140 ms to the first audio segment, and noted that a demo had been published on Hugging Face Spaces (https://huggingface.co/spaces/LiquidAI/LFM3-Omni-2B-WebGPU). The post, submitted by /u/xenovatech, called it the first truly omni model able to run 100% locally in a browser and mentioned custom WebGPU kernels to achieve that. So far this single community post is the only account available, and no further reports have followed.
AI-generated from 1 reports · updated 6 days ago
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Reports on this story headlines open the original
Liquid AI's LFM3-Omni-2B now runs entirely inside a browser on WebGPU, with no separate ASR or TTS models — it takes visual, audio or text input and emits interleaved text and audio tokens. The poster reports roughly 280 tok/s on an M4 Max, 90 ms to first token and 140 ms to first audio, with a demo hosted on Hugging Face Spaces.
Reddit · LocalLLaMAAI score 58
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