Amshaker/Mobile-O-SFT
Mobile-O SFT Data Supervised Fine-Tuning · ~105K Curated Prompt-Image Pairs 📌 Overview This dataset is used for Stage 2: Supervised Fine-Tuning (SFT) of Mobile-O, a unified multimodal model for on-device understanding and generation. The goal of this stage is to improve image generation quality by fine-tuning on high-quality curated prompt-image pairs. 📊 Dataset Composition Source Samples Description BLIP3o 60K High-quality… See the full description on the dataset page: https://huggingface.co/datasets/Amshaker/Mobile-O-SFT.
| Author / organization | Amshaker |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 228 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 6 February 2026 |
| Last updated at source | 24 February 2026 |
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228 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: Mobile-O SFT Data Supervised Fine-Tuning · ~105K Curated Prompt-Image Pairs 📌 Overview This dataset is used for Stage 2: Supervised Fine-Tuning (SFT) of Mobile-O, a unified multimodal model for on-device understanding and generation. The g → Mobile-O SFT Data Supervised Fine-Tuning · ~105K Curated Prompt-Image Pairs 📌 Overview This dataset is used for Stage 2: Supervised Fine-Tuning (SFT) of Mobile-O, a unified multimodal model for on-device understanding and generation. The g
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More from Amshaker
- Amshaker/Mobile-O-Pre-TrainDataset
- Amshaker/Mobile-O-Post-TrainDataset
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