LFM and LFM2
LFM2 is an improved successor implementation that supersedes the original LFM, with both tools providing PyTorch implementations of Liquid AI's foundation models but LFM2 representing the newer, optimized version of the architecture.
About LFM
kyegomez/LFM
An open source implementation of LFMs from Liquid AI: Liquid Foundation Models
This project offers an experimental, open-source version of Liquid Foundation Models, which are advanced neural networks designed for adaptive processing. It takes in structured data, such as sequences of numerical embeddings representing text or other complex information, and produces processed sequences that can be used for further analysis or predictions. Researchers and machine learning practitioners exploring novel neural architectures for complex data tasks would use this.
About LFM2
kyegomez/LFM2
A simple and minimal open source implementation of "Introducing LFM2: The Fastest On-Device Foundation Models on the Market" from Liquid AI in Pytorch
This project provides a foundational building block for artificial intelligence models, specifically designed for researchers and developers working on language-based AI. It takes in numerical representations of text (token IDs) and processes them to produce logical outputs, often used for tasks like text generation or understanding. Anyone experimenting with or building new language models would find this useful.
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