This is a tiny random-weight model based on the GPTBigCode architecture, created by the Optimum-Intel internal testing team. It is used exclusively for testing and validating model conversion, quantization, and inference pipelines. The model is not intended for real-world usage but serves as a lightweight fixture for CI/CD and library compatibility checks.
Tiny Random GPTBigCodeModel sits in PulseGate's Foundation models & chat category. It focuses on providing minimal test models for validating Optimum-Intel integration and inference pipelines. Tiny Random GPTBigCodeModel is an open-source project aimed at AI framework developers and testers. The project is open source (Open Source). It ships for the web and API.
It is developed by optimum-intel-internal-testing.
Summary written by a language model from the project’s public pages.
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