Liquid AI releases LFM2.5-24B-A2B, a reasoning model for on-device agents
Liquid AI introduced LFM2.5-24B-A2B, a 24B-parameter reasoning model with just 2B active parameters, built to run fast, private agents on local hardware.
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New foundation models and major updates, from frontier labs to open-weight challengers.
Liquid AI introduced LFM2.5-24B-A2B, a 24B-parameter reasoning model with just 2B active parameters, built to run fast, private agents on local hardware.
AI Desk1 min read
Meta published Muse Spark Open, a mixture-of-experts model with roughly 816B parameters, 42B active per token, multimodal input and a 1M-token context window.
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Reflection, a new US lab, put out Beam: a 501B mixture-of-experts model with 23B active parameters, a 1M-token context and an Apache 2.0 license.
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