InnovatorLab/Innovator-VL-Instruct-46M
Innovator-VL-Instruct-46M Paper | Code 🤗🤗 The data is being uploaded continuously Introduction To further enhance the model’s ability to handle a broad range of visual tasks with accurate, grounded, and instruction-aligned responses, we perform full-parameter visual instruction supervised fine-tuning (SFT).This SFT stage serves as a critical bridge between multimodal pretraining and subsequent reinforcement learning, providing both general capability coverage and a… See the full description on the dataset page: https://huggingface.co/datasets/InnovatorLab/Innovator-VL-Instruct-46M.
| Author / organization | InnovatorLab |
|---|---|
| License (as declared) | mit |
| Downloads | 66.9K (as reported by Hugging Face) |
| Likes | 12 |
| Created | 24 January 2026 |
| Last updated at source | 12 February 2026 |
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