This is a tiny random-weight model intended for testing the LLaVA (Large Language and Vision Assistant) architecture within the Optimum Intel ecosystem. It is not intended for production use but serves as a reference for integration and pipeline testing with the Hugging Face Transformers library.
Tiny Random Llava is a Multimodal & vision project. It focuses on providing a minimal test model for validating LLaVA inference pipelines and Optimum Intel integrations. It is built as an open-source project for developers. The project is open source (Open Source). It runs on the web, the command line, and API.
optimum-intel-internal-testing builds and maintains Tiny Random Llava.
Summary written by a language model from the project’s public pages.
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