Releases from frontier labs, major companies and research institutes — grouped by model, deduplicated across HuggingFace, OpenRouter and official blogs.
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Liquid AI🇺🇸Major lab
LFM2.5-VL-3B is a multimodal variant of LFM2.5, a family of hybrid models designed for on-device deployment. It builds on LFM2-VL-3B with further mid- and post-training.
Liquid AI🇺🇸Major lab
LFM2.5-Encoder is a family of multilingual bidirectional encoders built on the LFM2 architecture, available in two sizes:
Liquid AI🇺🇸Major lab
LFM2.5 is a hybrid model designed for on-device deployment, featuring 230 million parameters and optimized for fast edge inference. It is suitable for general-purpose text generation and agentic tasks, but not recommended for reasoning-heavy workloads.