LFM3 — Liquid AI's third-generation Liquid Foundation Models, released 27 October 2026: six open-weight 2B-class models covering text, vision, audio, omni and decision tasks. LFM3-1.7B uses a tri-hybrid backbone with a 256K context window and fits in roughly 1 GB at 4-bit, aimed at phones and other on-device deployment.
43 stories about LFM3
1 from your feeds21 from searchLFM3 is a multimodal AI model by Liquid AI. LFM3 — Liquid AI's third-generation Liquid Foundation Models, released 27 October 2026: six open-weight 2B-class models covering text, vision, audio, omni and decision tasks. LFM3-1.7B uses a tri-hybrid backbone with a 256K context window and fits in roughly 1 GB at 4-bit, aimed at phones and other on-device deployment. This page tracks 43 recent news stories about LFM3, curated from 30+ sources and updated every 15 minutes.
First tracked Oct 2026. Most-citing sources: Medium (5), r/LocalLLaMA (3), Hugging Face (1), Marktechpost (1). Data aggregated by Best AI News Today from 30+ sources.
Liquid AI is flooding the market with six new open-weight models small enough to run on a smartphone, a direct challenge to the dominance of larger, proprietary AI systems and a potential watershed moment for democratizing artificial intelligence. The 2-billion-parameter models, released simultaneously across multiple sizes, suggest that the real competition in AI may no longer be about raw scale but about efficiency—and that could upend the economics of the entire industry. If these smaller models prove capable of matching larger rivals on real-world tasks, it could reshape which companies control the AI future and who gets left behind.
by Sajjad Pakdamansavoji — One 1.7B backbone, six open-weight models, and a benchmark table that deserves a careful read.
Using a small AI that runs on your own computer for work is still scary. It answers things it doesn't know as if it were an expert. I think many people have decided to pass on it for that reason.The...
Liquid AI "showed off" that their new omni model can run on WebGPU inside your browser. Here's a video of it in action straight from their own HF space. EDIT as it seems to be getting lost: I am...
by Balthasar — The new open-weight family targets specialized work on devices. Choosing the right checkpoint and checking its license matter.
by The AI Brief — Six small specialists, a 1 GB text model and clear limits: what LFM3 can and can’t do on your own hardware
by Greek Ai — Just 1.7 billion parameters, a 256K-token context window, impressive tool-calling performance, and approximately 1 GB of quantized model…
LFM3 is LFM3 — Liquid AI's third-generation Liquid Foundation Models, released 27 October 2026: six open-weight 2B-class models covering text, vision, audio, omni and decision tasks. LFM3-1.7B uses a tri-hybrid backbone with a 256K context window and fits in roughly 1 GB at 4-bit, aimed at phones and other on-device deployment.
As of today, there are 43 recent stories about LFM3. Recent headlines include: LFM3-1.7B Gets Native vLLM Support, Ten Days After Its Card Printed the Command; The smarter the AI, the more it fails by talking too much. Surprising results from a local AI comparison (LFM3 vs 9B); Liquid AI’s LFM3 Puts Text, Vision, and Audio Into Smaller Models. Updated every 15 minutes.
LFM3 is part of the Multimodal model category. Browse all comparable AI multimodal models with live news mentions and benchmarks.
