LFM2.5-24B-A2B: Built for fast on-device agents

Summarized by PinBrief · From Hacker News · 3h ago

LFM2.5‑24B‑A2B, a 24‑billion‑parameter language model, is designed for fast on‑device inference. Optimized for low latency and modest memory, it lets AI agents run locally without cloud services. The open‑source release includes quantization tools for smartphones and embedded chips, and early tests show speed comparable to larger server‑based models on tasks like text generation and summarization.