LFM3-Omni-2B
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- LFM3-Omni-2B runs locally in a browser via WebGPU
A Reddit post from /u/xenovatech presented LFM3-Omni-2B running locally in a browser through WebGPU, with a linked Hugging Face demo available for inspection. The post claimed that custom WebGPU kernels achieved about 280 tokens per second on an Apple M4 Max, with 90 ms to the first token and 140 ms to the first audio, but these performance figures remain unverified.
r/LocalLLaMA · 🔥 2 - Liquid AI Releases the Open-Weight LFM3 Multimodal Model Family
Liquid AI released LFM3, a family of six models in the roughly 2B-parameter range covering text, vision, audio, omni, and decision tasks on a shared hybrid backbone. The models were pretrained on 22T tokens, and the base and post-trained weights are available through Hugging Face, Liquid AI Playground, and the Liquid AI API. Liquid AI says LFM3-1.7B uses 35% fewer parameters than LFM2.5-2.6B, occupies about 1 GB at 4-bit precision, and supports a 256K-token context window.
Liquid AI Blog · 🔥 0
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