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Liquid AI says Hugging Face tuned LFM2.5-24B-A2B for agentic work

AILiquid AI says the Hugging Face team tuned its LFM2.5-24B-A2B model for more efficient agentic behavior in open-source harnesses. Hugging Face released LoRA adapters for Pi and Claude Code, which cut tool calls by up to 40% on Pi.
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LFMs are built to be customized. We think specialized intelligence is what enables more than half of enterprise AI usecases with predicable economics.

This is an incredible work by the @huggingface team on tuning our LFM2.5-24B-A2B for more efficient agentic behavior in opensource harnesses. 🤗

younes@yb2698
LFM2.5-24B adapters for Pi and Claude Code! We release LoRA adapters trained on top of LFM2.5-24B - more efficient agentic development on opensource harnesses (up to 40% less tool calls on Pi!)! https://huggingface.co/collections/harness-hub/lfm25-24b-harness-adapters
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Original title: LFMs are built to be customized. We think specialized intelligence is what enables more than half of enterprise AI usecases with predicab...