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.
Available on PyPI.
Use this if you are an AI researcher or developer looking to experiment with or integrate a fast, efficient foundation model architecture into your language AI projects.
Not ideal if you are an end-user seeking a ready-to-use application or a fully trained language model for direct content generation or analysis.
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23
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5
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
2
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