Liquid AI releases six 2B-parameter open-weight models in LFM3 family
Liquid AI launched the LFM3 family on October 27, 2026, introducing six open-weight models with 2 billion parameters each. The lineup includes text, vision, audio, omni, and two decision models, all branching from a shared LFM3-1.7B-Base architecture. The text model supports 16 languages, a 256K-token context window, and a 128,000-token vocabulary, while the vision model accepts video input—a…
Key points
- Liquid AI released six 2B-parameter open-weight models in the LFM3 family, including text, vision, audio, omni, and decision models
- LFM3-1.7B-Base supports 16 languages, 256K-token context, and 128K-token vocabulary, with a tri-hybrid architecture optimized for efficiency
- Vision model LFM3-VL-2B accepts video input and outperforms larger models like Gemma 4 12B on benchmarks with fewer parameters
Liquid AI Launches LFM3 Family of Six Open-Weight 2B-Class Models
Unite.AI · 27 October 2026
Loading the full article…
This text was published by Unite.AI and written by Jonas Reeve, Cognitive AI & AGI, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
Coverage and discussion
2sources- Reddit discussionreddit.com
- LiquidAI/LFM3-1.7B · Hugging FacePrimary source · huggingface.co ·
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
More in Generative AI & Models
All →- Anthropic reports 3.6x jump in token volume after Claude Opus 5.5 launch · 5 src
- The Kaitchup releases statistically-lossless Qwen3.8-27B GGUF models · 1 src
- Moonshot AI announces Kimi K3.1 Pro with 1M-token context and 3D model creation · 2 src
- OpenAI’s GPT-6.1 Terra scores 1,671 points on Code Arena WebDev leaderboard · 1 src
- OpenAI and Anthropic cut AI model prices by up to 80% amid rising competition from open-weight models · 6 src
Comments
via GitHub Discussions