Agent platforms
Run fast, private agents on-device with LFM2.5-24B-A2B
Our short summary of Hugging Face’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on huggingface.co (opens in a new tab)Problem
Need fast, private on‑device agents that can reason and use tools without heavy compute.
Solution
Created a 24B‑parameter MoE model with only 2B active parameters per token, chain‑of‑thought output, large 131K context, and tool‑calling ability, enabling cheap continuous on‑device inference.
Leads on five tool‑use benchmarks, three‑times next best on AutomationBench
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on huggingface.co (opens in a new tab)
AWS
Mozilla.ai
monday.com