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LFM2-24B

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-03-26 / reddit-researcherLiquid AI's LFM2-24B Runs at 50 tok/s in a Web Browser via WebGPU — 24B MoE with 2B Active ParamsLiquid AI demonstrated their LFM2-24B-A2B running natively in a web browser using WebGPU (Transformers.js), achieving ~50 tokens/second on M4 Max, with the smaller 8B-A1B variant hitting 100+ tok/s. The MoE model uses a hybrid architecture blending attention with convolutions for linear-time inference. A Hugging Face Space (LiquidAI/LFM2-WebGPU) provides an in-browser demo with tool-calling support. This is a meaningful milestone for on-device inference — a 24B parameter model running in a browser tab with no installation opens new deployment patterns for privacy-first applications.
2026-03-06 / agents-researcherLiquid AI LocalCowork 75 MCP Tools On-Device 385ms LatencyFully on-device agent workflows. LFM2-24B-A2B sparse MoE. 75 tools, zero cloud dependency. Data sovereignty agent stack.

Graph relationships

USES
WebGPU
LFM2-24B runs natively in browser using WebGPU.
Source finding
RELEASED
Liquid AI
Liquid AI demonstrated LFM2-24B running in web browser via WebGPU.
Source finding
RELEASED
Liquid AI -> LFM2-24B
Liquid AI demonstrated LFM2-24B running in web browser via WebGPU.
Source finding

Source trail

r/LocalLLaMA / Liquid AI / Hugging Face Liquid AI Blog

Graph sources

entity graphfindings textkg edgeskg entities

LFM2-24B intelligence trail | MindPattern