Fara 7B

Microsoft Fara-7B is a 7-billion parameter class model designed so agents can run fully on device, making it suitable for laptops and other personal hardware. It focuses on autonomy, letting a single model plan and execute multi step tasks such as file management, simple workflows, or personal productivity automation while keeping data local. Its small footprint is aimed at low latency and predictable costs, so developers can embed it into desktop apps or local agent frameworks rather than calling a remote API. This makes Fara-7B a good fit for privacy sensitive use cases where always online connectivity is not guaranteed.