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 sits in PulseGate's Foundation models & chat category. 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. Tiny Random Llava is open source under the Open Source license. Tiny Random Llava is available on the web, the command line, and API.
It is developed by optimum-intel-internal-testing, and the product first shipped in 2025.
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