Amshaker/Mobile-O-Pre-Train
Mobile-O Pre-Training Data Cross-Modal Alignment · 9M Text-Image Pairs 📌 Overview This dataset is used for Stage 1: Cross-Modal Alignment pre-training of Mobile-O, a unified multimodal model for on-device understanding and generation. The goal of this stage is to align the DiT diffusion decoder and Mobile Conditioning Projector (MCP) with the frozen VLM backbone using large-scale text-image pairs. 📊 Dataset Composition Source Samples… See the full description on the dataset page: https://huggingface.co/datasets/Amshaker/Mobile-O-Pre-Train.
| Author / organization | Amshaker |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 931 (as reported by Hugging Face) |
| Likes | 12 |
| Created | 6 February 2026 |
| Last updated at source | 24 February 2026 |
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- 16 Oct 2026 Description: Mobile-O Pre-Training Data Cross-Modal Alignment · 9M Text-Image Pairs 📌 Overview This dataset is used for Stage 1: Cross-Modal Alignment pre-training of Mobile-O, a unified multimodal model for on-device understanding and generation. The → Mobile-O Pre-Training Data Cross-Modal Alignment · 9M Text-Image Pairs 📌 Overview This dataset is used for Stage 1: Cross-Modal Alignment pre-training of Mobile-O, a unified multimodal model for on-device understanding and generation. The
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