This is a tiny random-weight model based on the Starcoder2 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 Coding AI & assistants space, Tiny Random Starcoder2ForCausalLM takes a focused approach. It focuses on providing minimal test models for validating Optimum-Intel integration and inference pipelines. Tiny Random Starcoder2ForCausalLM 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.
optimum-intel-internal-testing builds and maintains Tiny Random Starcoder2ForCausalLM.
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