Model
Agent Jeff
A community-developed open-source language model with 0.6 billion parameters, designed for low-latency pre-processing tasks such as scoring, filtering, and routing. It functions as a lightweight first-response layer that operates before calls are made to larger language models.
Timeline (last 90 days)
Sep 23
The community has open-sourced a 0.6B miniature model called Agent Jeff, positioned as a fast, shallow first-responder for use in upstream stages such as scoring, filtering, and routing.
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