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LFM2.5-24B-A2B on Your Own Hardware: The RAM, KV Cache and Bandwidth Budget

TL;DR Liquid AI released LFM2.5-24B-A2B on Hugging Face this month: 23.97B total parameters, 2.45B active per token, 131,072-token context, GGUF on day one. For on-device use, three numbers decide whether it fits your hardware, and all three can be computed from config.json and the GGUF file list i…

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  1. 2026-10-19 14:46 · DEV Community — Machine Learning
    LFM2.5-24B-A2B on Your Own Hardware: The RAM, KV Cache and Bandwidth Budget

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