Liquid Foundation Models
PulseAugur coverage of Liquid Foundation Models — every cluster mentioning Liquid Foundation Models across labs, papers, and developer communities, ranked by signal.
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Liquid AI unveils efficient 1GB LFM3 model family for local agents
Liquid AI has released LFM3, a new family of open-weight models designed for efficiency and local deployment. The flagship LFM3-1.7B model, weighing approximately 1 GB, boasts a 256K-token context window and a unique tr…
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Hugging Face releases LFM3 multimodal models for specialized AI
Hugging Face has released LFM3, a new family of Liquid Foundation Models designed for specialized intelligence across multiple modalities. These models, available in the 2B parameter range, offer improved performance pe…
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Liquid Ai unveils LFM3 multimodal models for specialized intelligence · 4 sources tracked
Liquid Foundation Models has released LFM3, a new family of multimodal models designed for specialized intelligence. Built on a hybrid architecture and trained on 22T tokens, LFM3 offers improved expressivity and effici…
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Liquid AI launches RIPL engine for sub-50ms LFM inference
Liquid AI has introduced RIPL, a new real-time inference engine designed to serve its Liquid Foundation Models (LFMs) with very low latency. The engine aims to enable the use of generative models in applications that pr…
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New multimodal models and research push AI capabilities across edge, reasoning, and generation
Several research papers and a new model release focus on advancing multimodal AI capabilities. Liquid Foundation Models has released the open-source d1-3B model, optimized for edge devices and capable of processing text…
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MacPaw and Liquid AI partner for on-device AI on Macs
MacPaw and Liquid AI have formed a partnership to develop on-device AI capabilities for macOS. This collaboration will integrate Liquid AI's foundation models with MacPaw's Elix and Mnemos technologies to create a local…