This open-source model enables vision question answering on multimodal inputs, such as images and text, for AI research and development. Distributed via Hugging Face, it is accessible via CLI and supports integration into custom pipelines for advanced multimodal tasks.
Vqa Rlvr Grpo 2b Main Base sits in PulseGate's Other AI category. It focuses on providing a multimodal model for answering questions about images and text for research and development. It is built as an open-source project for ai researchers and developers. Vqa Rlvr Grpo 2b Main Base is open source under the Apache-2.0 license. The product ships for the web and the command line.
Behind Vqa Rlvr Grpo 2b Main Base is omnifish123, and the product first shipped in 2026. Development happens publicly on GitHub with 49 commits in the last 90 days. Key capabilities include vision question answering, multimodal input, and open source weights.
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