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 Multimodal & vision 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. Tiny Random Qwen2.5 Vl is open source under the Open Source license. Tiny Random Qwen2.5 Vl is available on the web, API, and the command line.
optimum-intel-internal-testing builds and maintains Tiny Random Qwen2.5 Vl. Among its 3 catalogued features are Vision Language, Test Model, and Multimodal Testing.
Summary written by a language model from the project’s public pages.
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