OpenGVLab's InternVL2_5-8B-AWQ is a quantized version of the InternVL2.5 vision-language model. It supports image-text-to-text tasks and is optimized for lower resource usage. The model is hosted on Hugging Face and integrates with the Transformers library for multimodal applications.
In the Foundation models & chat space, InternVL2 5 8B takes a focused approach. Efficiently running vision-language models with reduced memory requirements via quantization. It is built as an open-source project for developers. InternVL2 5 8B is open source under the MIT license. It runs on the web, the command line, and API.
Behind InternVL2 5 8B is OpenGVLab, and the product first shipped in 2023. Development happens publicly on GitHub with 10.1k stars.
Latest indexed changes and source events
OpenGVLab/InternVL2_5-8B-AWQ verified by the PulseGate indexer
Other apps tracked under the same category.