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Open-Weight Model

An open-weight model is an AI system where the trained neural network parameters are publicly released, allowing developers to download, modify, and deploy the model without restrictions from the original creator. This contrasts with closed models like GPT-4, where only the company retains access to the underlying weights. For governance, open-weight models present distinct challenges around transparency and control, as organizations must evaluate third-party models for safety and compliance before deployment, while benefiting from community auditing and the ability to run models on-premises for data privacy.

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