Liquid's 40.3B Mixture of Experts (MoE) model. Liquid Foundation Models (LFMs) are large neural networks built with computational units rooted in dynamic systems.
LFMs are general-purpose AI models that can be used to model any kind of sequential data, including video, audio, text, time series, and signals.
See the launch announcement(opens in new tab) for benchmarks and more info.
Modalities
Context
33K
Released
Sep 30, 2024
Knowledge Cutoff
Sep 2024
Liquid's 40.3B Mixture of Experts (MoE) model. Liquid Foundation Models (LFMs) are large neural networks built with computational units rooted in dynamic systems. LFMs are general-purpose AI models that can be used to model any kind of sequential data, including video, audio, text, time series, and signals. See the launch announcement for benchmarks and more info.
LFM 40B MoE has a 32,768 token context window.
LFM2.5-2.6B (free) is another text model from Liquid.
LFM 40B MoE was released on September 30, 2024. Its knowledge cutoff is September 30, 2024.
Token volume and request traffic to this model over time.