PolyCoder Enterprise

The public PolyCoder paper describes a GPT-2-based code model with 2.7 billion parameters, trained on 249GB of code. The word Enterprise indicates a commercial package, but the listing alone does not prove that it uses the same weights or license. [PolyCoder paper](https://arxiv.org/abs/2202.13169)

Not necessarily. The catalog calls it a commercial deployment for businesses, but it does not state whether the service runs on-premises, in a private cloud, or through a hosted API, so that deployment detail needs confirmation.

The public research release was trained across 12 programming languages. An enterprise product may support a different set or add fine-tuned models, so buyers should request the current model card and language list. [PolyCoder paper](https://arxiv.org/abs/2202.13169)

Verify code retention, training-data licensing, access controls, model version, and how generated code enters review and testing. The public model's 249GB training corpus is a reason to ask for clear provenance and commercial-use terms. [PolyCoder paper](https://arxiv.org/abs/2202.13169)