CoPE-B: The COntent Policy Evaluator Model
Model Overview
CoPE is a family of special purpose content policy evaluation models designed to perform accurate content labeling based on developer-customizable criteria. Built by trust & safety veterans, CoPE represents a significant advancement in content classification technology, offering steerable and precise policy interpretation capabilities while maintaining a small and efficient model size.
CoPE-B-8b-it is the latest generation of model in the CoPE family and supports a much longer context window of 128k tokens and instructiong tuning (i.e., chat interface). CoPE-B-12B-it-llama utilizes Meta's llama-3.1-8b-instruct as its backbone model for easy deployment. The current version is a release candidate and may not be the final model Zentropi releases for CoPE-B.
Note: This model is currently only available to paid subscribers of the Zentropi platform. If you are not a subscriber and would like access to the open version of CoPE, please download CoPE-A-9B.
Model tree for zentropi-ai/cope-b-8b-it-llama-rc1
Base model
meta-llama/Llama-3.1-8B