This is a very small dummy model based on the Qwen2 architecture, created by the PEFT internal testing team. It is used primarily for testing and validating integration between PEFT methods and the Qwen2 model family. It is not intended for real-world text generation but serves as a lightweight test case.
Tiny Dummy Qwen2 is a Foundation models & chat product. It focuses on providing a minimal test model for validating Parameter-Efficient Fine-Tuning (PEFT) techniques with Qwen2 architecture. Tiny Dummy Qwen2 is an open-source project aimed at machine learning framework developers. The project is open source (Open Source). The product ships for the web, the command line, and API.
peft-internal-testing builds and maintains Tiny Dummy Qwen2, and the product first shipped in 2024. Among its 3 catalogued features are text generation, tiny model, and PEFT testing.
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