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.
In the Foundation models & chat space, Tiny Random GPTBigCodeModel takes a focused approach. It focuses on providing minimal test models for validating Optimum-Intel integration and inference pipelines. It is built as an open-source project for AI framework developers and testers. Tiny Random GPTBigCodeModel is open source under the Open Source license. It runs on the web and API.
It is developed by optimum-intel-internal-testing, and the product first shipped in 2025.
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