CoolFace
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internvl_chat

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Models

All models matching “internvl_chat”
OpenGVLab /InternVL-Chat-V1-2image-text-to-texttransformers18 likes13k downloads1y agoHugging FaceOpenGVLab /InternVL-Chat-V1-5image-text-to-texttransformers417 likes12k downloads1y agoHugging FaceOpenGVLab /Mini-InternVL-Chat-2B-V1-5image-text-to-texttransformers74 likes10k downloads1y agoHugging FaceOpenGVLab /InternVL-Chat-V1-5-AWQimage-text-to-texttransformers11 likes4.7k downloads1y agoHugging FaceOpenGVLab /InternVL-Chat-V1-2-Plusimage-text-to-texttransformers34 likes236 downloads1y agoHugging FaceOpenGVLab /InternVL-Chat-V1-1image-text-to-texttransformers13 likes200 downloads1y agoHugging FaceOpenGVLab /Mini-InternVL-Chat-4B-V1-5image-text-to-texttransformers62 likes162 downloads1y agoHugging FaceOpenGVLab /InternVL-Chat-ViT-6B-Vicuna-13Bvisual-question-answeringtransformers7 likes97 downloads2y agoHugging Face

Datasets

All datasets matching “internvl_chat”
OpenGVLab /InternVL-Chat-V1-2-SFT-Data Data Card for InternVL-Chat-V1-2-SFT-Data Overview Inspired by LLaVA-NeXT, we adopted a data-efficient SFT strategy to train InternVL-Chat-V1-2, utilizing approximately 1.2M of visual instruction tuning samples in total, all of which are fully open-source. In a macro sense, we build upon ShareGPT-4V and additionally integrate LLaVA-ZH, DVQA, ChartQA, AI2D, DocVQA, GeoQA+, and SynthDoG-EN. Most of the data remains consistent with LLaVA-NeXT. Citation If you use… See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/InternVL-Chat-V1-2-SFT-Data.imagevisual-question-answering100K<n<1M29 likes377 downloads2y agoHugging Facekhang119966 /InternVL_Chat_V12_SFT_Dataimage1M<n<10M0 likes297 downloads2y agoHugging Face