๐ฆReddit r/LocalLLaMAโขStalecollected in 5h
Liquid AI Launches LFM2-24B-A2B MoE Model
๐กLiquidAI's 24B MoE (2B active) runs on laptops โ beats scaling plateaus, HF open now
โก 30-Second TL;DR
What Changed
24B total params, 2.3B active per forward pass
Why It Matters
Demonstrates efficient scaling for edge deployment without high compute. Makes high-quality MoE accessible on consumer hardware, advancing local AI.
What To Do Next
Download LFM2-24B-A2B GGUF from Hugging Face and test on llama.cpp with 32GB RAM setup.
Who should care:Developers & AI Engineers
๐ง Deep Insight
Web-grounded analysis with 8 cited sources.
๐ Enhanced Key Takeaways
- โขLiquid AI originated as an MIT CSAIL spinoff founded by Ramin Hasani, Mathias Lechner, Alexander Amini, and Daniela Rus, focusing on liquid neural networks inspired by dynamical systems for improved causality and interpretability.[1][2][3]
- โขLFM models represent Liquid Foundation Models (LFMs), a non-Transformer architecture using hardware-aware co-design for edge, enterprise, and multimodal applications like video, audio, and time series.[4][5][7]
- โขBy 2026, Liquid AI achieved unicorn status as a Cambridge-based lab, emphasizing lowest latency across GPUs, CPUs, and NPUs through first-principles design.[6]
๐ฎ Future ImplicationsAI analysis grounded in cited sources
LFM2-24B-A2B advances Liquid AI's open-weight strategy
MoE in LFMs enables log-linear scaling to larger sparse models
The model's scaling from 350M to 24B parameters demonstrates efficient compute use, rooted in dynamical systems theory for sequential data processing.[7]
โณ Timeline
2016
Foundational liquid neural network research begins at MIT CSAIL and Vienna University of Technology.[3][6]
2023-12
Liquid AI emerges from stealth as MIT spinoff, announces LFMs beyond Transformers.[1][2]
2024
Releases first series of Liquid Foundation Models (LFMs) in multiple sizes for generative AI.[7]
2025
Launches Liquid Labs, commits to open science with model weights and reports.[5]
2026-02
Unicorn status confirmed; focuses on hardware-in-the-loop LFMs for enterprise.[6]
2026-02
Releases LFM2-24B-A2B, largest sparse MoE model with open weights.[article]
๐ Sources (8)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
- dukecapitalpartners.duke.edu โ Liquid AI a New Generation of AI Models From First Principles
- liquid.ai โ New Generation of AI Models From First Principles
- TechCrunch โ Liquid AI a New Mit Spinoff Wants to Build an Entirely New Type of AI
- liquid.ai
- liquid.ai โ Introducing Liquid Labs Defining the Frontier of Intelligence Through Innovation
- mckinsey.com โ The Case for Liquid Foundation Models
- liquid.ai โ Liquid Foundation Models Our First Series of Generative AI Models
- constellationr.com โ Liquid AI Launches Non Transformer Genai Models Can It Ease Power Crunch
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Original source: Reddit r/LocalLLaMA โ