Liquid AI Releases LFM3: 6 Open-Weight 2B-Class Multimodal Models

Liquid AI released LFM3, a family of six open-weight 2B-class models built on one shared tri-hybrid backbone covering text, vision, audio, omni and decision tasks, each fine-tunable on a single GPU. LFM3-1.7B has 1.73B parameters and a 256K context window, runs at about 1 GB of memory at 4-bit, and averages 49.37 across 29 benchmarks (Liquid's own eval), above Qwen3.5-9B at 47.24, while trailing it on GPQA Diamond (63.37 vs 80.40) and SWE-bench Verified (43.40 vs 51.20). Weights are on Hugging Face, the Liquid AI Playground and the Liquid API, with GGUF, MLX, ONNX, FP8 and NVFP4 checkpoints, and free commercial use stops at $10M annual revenue under the LFM Open License v1.0.