Liquid AI LFM2.5-24B Hits 70 TPS on Mac mini M6 — OpenClaw with 128K Context!

In this video, I test Liquid AI's latest 24B Mixture-of-Experts (MoE) model on my Mac mini M6, exploring its real-world performance, inference speed, and integration with OpenClaw using a 128K context window.

What makes LFM2.5-24B-A2B interesting is its efficient architecture. Although the model has 24 billion parameters, it activates only around 2.45 billion parameters per token, making it an interesting option for running powerful AI agents locally.

LFM2.5 24B A2B - https://huggingface.co/LiquidAI/LFM2.5-24B-A2B

Chapters:
00:00 - Introduction
02:46 - Running LFM2.5 24B A2B in LM Studio
04:23 - Running LFM2.5 24B A2B with OpenClaw
06:46 - Using Apple Shortcuts for Powerful Operation
12:19 - Using LFM2.5 2.6B with Mirai Uzu

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