This is a tiny random-weight model based on the Granite architecture from IBM, 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 Granite 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 Granite is open source under the Open Source license. It runs on the web and API.
optimum-intel-internal-testing builds and maintains Tiny Random Granite, and the product first shipped in 2025.
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