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tinyllava

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Models

All models matching “tinyllava”
trl-internal-testing /tiny-LlavaForConditionalGenerationimage-text-to-texttransformers0 likes202k downloads4mo agoHugging Facetrl-internal-testing /tiny-LlavaNextForConditionalGenerationimage-text-to-texttransformers0 likes184k downloads4mo agoHugging Facepeft-internal-testing /tiny-LlavaForConditionalGenerationimage-text-to-texttransformers0 likes12k downloads2y agoHugging Facebczhou /tiny-llava-v1-hfimage-text-to-texttransformersen57 likes2.2k downloads2y agoHugging FaceZhang199 /TinyLLaVA-Qwen2.5-3B-SigLIPimage-text-to-text0 likes1.6k downloads1y agoHugging Facetinyllava /TinyLLaVA-Phi-2-SigLIP-3.1Bimage-text-to-texttransformers17 likes797 downloads2y agoHugging Facejiajunlong /TinyLLaVA-OpenELM-450M-CLIP-0.55Btext-generationtransformers6 likes465 downloads2y agoHugging FaceYouLiXiya /tinyllava-v1.0-1.1b-hfimage-to-texttransformersen4 likes121 downloads3y agoHugging Face

Datasets

All datasets matching “tinyllava”
pbwpbw /tiny_llavavideoTinyLLaVA-Video This dataset combines data from multiple sources for pre-training and fine-tuning. Pretrain Data: Four subsets of LLaVA-Video-178K (0_30_s_academic_v0_1, 30_60_s_academic_v0_1, 0_30_s_youtube_v0_1, 30_60_s_youtube_v0_1), supplemented with filtered Video-LLaVA data (https://huggingface.co/datasets/LanguageBind/Video-LLaVA) and data from Valley (https://github.com/RupertLuo/Valley). The video data can be downloaded from the linked datasets, and cleaned annotations are provided… See the full description on the dataset page: https://huggingface.co/datasets/pbwpbw/tiny_llavavideo.textvideo-text-to-text100K<n<1M0 likes261 downloads6mo agoHugging FaceZhang199 /TinyLLaVA-Video-R1-training-dataTinyLLaVA-Video-R1 We select multiple choice questions from the NextQA subset of LLaVA-Video-178K as training data. To maintain manageable training time with limited computational resources, we only choose the subset of data with a duration of 0 to 30 seconds, which contains 5,496 samples. In addition, we manually annotate 16 samples for cold-starting and provide the annotations. Organize Data Organize the files and annotation files as follows in path/to/your/dataset: dataset ├──… See the full description on the dataset page: https://huggingface.co/datasets/Zhang199/TinyLLaVA-Video-R1-training-data.video-text-to-text1 likes68 downloads1y agoHugging FaceZhang199 /TinyLLaVA-Video-v1-training-dataTinyLLaVA-Video This dataset combines data from multiple sources for pre-training and fine-tuning. Pretrain Data: Four subsets of LLaVA-Video-178K (0_30_s_academic_v0_1, 30_60_s_academic_v0_1, 0_30_s_youtube_v0_1, 30_60_s_youtube_v0_1), supplemented with filtered Video-LLaVA data (https://huggingface.co/datasets/LanguageBind/Video-LLaVA) and data from Valley (https://github.com/RupertLuo/Valley). The video data can be downloaded from the linked datasets, and cleaned annotations are provided… See the full description on the dataset page: https://huggingface.co/datasets/Zhang199/TinyLLaVA-Video-v1-training-data.video-text-to-text1 likes63 downloads1y agoHugging FaceYFanwang /tinyllavaCheck out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference 0 likes36 downloads11mo agoHugging FaceLoRAFleet /TinyLLAVA-Training-Dataimage100K<n<1M1 likes31 downloads1y agoHugging Facetianle233 /tinyllava_train_eval_data0 likes21 downloads1y agoHugging Face

Apps

All apps matching “tinyllava”
Arpantimsina /bczhou-TinyLLaVA-2.0Bgradio0 likes3y agoHugging FaceShubh2001 /Tiny_Llava_OCRdocker0 likes2y agoHugging Face