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This page describes how models in the Serverless Inference catalog move through their lifecycle stages, how W&B notifies you of upcoming changes, and which models are deprecated or retired. Use this information to plan migrations away from models that are scheduled for removal. W&B evaluates and releases new models as part of the Serverless Inference catalog on an ongoing basis. W&B reviews older models periodically and may retire them to prioritize the most in-demand and highest-quality offerings.

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Model lifecycle stages

Models in Serverless Inference use the following terminology for the stages of their lifecycle:
  • Experimental: The model is available for initial experimentation, but isn’t bound by our standard SLA or deprecation process.
  • Generally available: The model is fully supported and recommended for use.
  • Deprecated: The model is scheduled for removal. Update to a recommended replacement as soon as possible.
  • Retired: The model is no longer available. Any requests to retired models fail and return an HTTP 404 status code.

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Deprecation process

When W&B deprecates a generally available model, we provide at least two weeks of notice on this page before the model is retired. We also attempt to notify recent users of a deprecated model through email and provide recommendations for replacement models. Models that are in the deprecated stage continue to serve requests.

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Deprecated models

The following Serverless Inference models are deprecated:

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Retired models

The following Serverless Inference models are retired: