InternVL3-78B-AWQ is a large multimodal model from Shanghai AI Laboratory and collaborators. It processes images, videos, and text using a unified approach. The AWQ quantized version enables more efficient inference while maintaining strong performance across vision-language tasks. It is accessible via the Hugging Face ecosystem.
InternVL3 78B sits in PulseGate's Foundation models & chat category. It focuses on providing efficient multimodal AI capabilities for understanding images, videos, and text in a single model. It is built as an open-source project for developers. InternVL3 78B is open source under the MIT license. The product ships for the web, the command line, and API.
OpenGVLab builds and maintains InternVL3 78B, and the product first shipped in 2023. Development happens publicly on GitHub with 10.1k stars. It operates in a well-populated space: PulseGate tracks 8 similar tools. Key capabilities include Multimodal Understanding, Vision-Language Processing, and Quantized Inference. It exposes integrations via a public API.
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