This is a tiny randomly initialized model based on Qwen2.5-VL used for internal testing of the Optimum Intel library. It is designed to validate quantization, optimization, and inference pipelines for vision-language models without using full-size weights. The model is hosted on Hugging Face for development and CI purposes.
Tiny Random Qwen2.5 Vl sits in PulseGate's Foundation models & chat category. It focuses on testing vision-language model integration and optimization pipelines with a minimal random model. Tiny Random Qwen2.5 Vl is an open-source project aimed at machine learning optimization engineers. The project is open source (Open Source). It runs on the web, API, and the command line.
It is developed by optimum-intel-internal-testing, and the product first shipped in 2024. Among its 3 catalogued features are Vision Language, Test Model, and Multimodal Testing.
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