OpenGVLab/MMPR-v1.2
MMPR-v1.2 [π GitHub] | [π Project Page] | [π Paper (InternVL3.5)] | [π Paper (MMPR/MPO)] | [π Blog (MPO)] | [π Documents] This is a newer version of MMPR and MMPR-v1.1, which includes additional data sources to enhance the data diversity and greatly improves the overall performance of InternVL3.5 across all scales. The prompts used to build this dataset is released in MMPR-v1.2-prompts. To unzip the archive of images, please first run cat images.zip_* > images.zip and thenβ¦ See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/MMPR-v1.2.
| Author / organization | OpenGVLab |
|---|---|
| License (as declared) | mit |
| Downloads | 1.9K (as reported by Hugging Face) |
| Likes | 42 |
| Created | 11 April 2025 |
| Last updated at source | 31 August 2025 |
Connected in the knowledge graph
- mlx-community/gemma-3-4b-it-qat-4bitModel Β· used to train
- mradermacher/InternVL3_5-1B-GGUFModel Β· used to train
- OpenGVLab/InternVL3_5-8B-PretrainedModel Β· used to train
- OpenGVLab/InternVL3-14B-AWQModel Β· used to train
- mradermacher/InternVL3-78B-GGUFModel Β· used to train
- OpenGVLab/InternVL3_5-GPT-OSS-20B-A4B-PreviewModel Β· used to train
- OpenGVLab/InternVL3_5-2B-HFModel Β· used to train
- mradermacher/InternVL3_5-2B-i1-GGUFModel Β· used to train
- mlx-community/gemma-3-27b-it-qat-4bitModel Β· used to train
- mradermacher/InternVL3_5-1B-i1-GGUFModel Β· used to train
- OpenGVLab/InternVL3-78B-hfModel Β· used to train
- OpenGVLab/InternVL3_5-8B-InstructModel Β· used to train
- OpenGVLab/InternVL3-14B-hfModel Β· used to train
- OpenGVLab/InternVL3_5-1BModel Β· used to train
- OpenGVLab/InternVL3-9BModel Β· used to train
- mradermacher/InternVL3-2B-i1-GGUFModel Β· used to train
- mradermacher/InternVL3_5-4B-i1-GGUFModel Β· used to train
- mradermacher/InternVL3_5-30B-A3B-GGUFModel Β· used to train
- OpenGVLab/InternVL3_5-8B-MPOModel Β· used to train
- OpenGVLab/InternVL3_5-38B-InstructModel Β· used to train
- OpenGVLab/InternVL3-8B-AWQModel Β· used to train
- mradermacher/InternVL3-2B-GGUFModel Β· used to train
- mradermacher/InternVL3-1B-GGUFModel Β· used to train
- OpenGVLab/InternVL3-38B-AWQModel Β· used to train
- OpenGVLab/InternVL3_5-241B-A28B-HFModel Β· used to train
- mlx-community/Kimi-VL-A3B-Thinking-8bitModel Β· used to train
- OpenGVLab/InternVL3-2BModel Β· used to train
- OpenGVLab/InternVL3-8B-hfModel Β· used to train
- cyankiwi/InternVL3_5-38B-AWQ-4bitModel Β· used to train
- mlx-community/InternVL3-2B-4bitModel Β· used to train
- mradermacher/InternVL3-8B-GGUFModel Β· used to train
- OpenGVLab/InternVL3_5-1B-FlashModel Β· used to train
- OpenGVLab/InternVL3_5-4B-PretrainedModel Β· used to train
- mradermacher/InternVL3-14B-GGUFModel Β· used to train
- mradermacher/InternVL3-78B-i1-GGUFModel Β· used to train
- cyankiwi/InternVL3_5-8B-AWQ-4bitModel Β· used to train
- OpenGVLab/InternVL3_5-38BModel Β· used to train
- mlx-community/Kimi-VL-A3B-Thinking-6bitModel Β· used to train
- mradermacher/VisualPRM-8B-v1_1-GGUFModel Β· used to train
- OpenGVLab/InternVL3_5-30B-A3B-FlashModel Β· used to train
Recent changes
- 16 Oct 2026 Description: MMPR-v1.2 [π GitHub] | [π Project Page] | [π Paper (InternVL3.5)] | [π Paper (MMPR/MPO)] | [π Blog (MPO)] | [π Documents] This is a newer version of MMPR and MMPR-v1.1, which includes additional data sources to enhance the data divers β MMPR-v1.2 [π GitHub] | [π Project Page] | [π Paper (InternVL3.5)] | [π Paper (MMPR/MPO)] | [π Blog (MPO)] | [π Documents] This is a newer version of MMPR and MMPR-v1.1, which includes additional data sources to enhance the data divers
Changes detected by Silytics between refreshes of the source.
More from OpenGVLab
- OpenGVLab/MVBenchDataset
- OpenGVLab/VideoChat-Flash-Training-DataDataset
- OpenGVLab/SA-Med2D-20MDataset
- OpenGVLab/GUI-OdysseyDataset
- OpenGVLab/ScaleCUA-DataDataset
- OpenGVLab/OmniCorpus-CCDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.