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TIGER-Lab/ABC-Qwen2VL-Instruct
ABC-Qwen2VL-Instruct is a image-text-to-text model from TIGER-Lab. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
@misc{schneider2025abcachievingbettercontrol, title={ABC: Achieving Better Control of Multimodal Embeddings using VLMs}, author={Benjamin Schneider and Florian Kerschbaum and Wenhu Chen}, year={2025}, eprint={2503.003…
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.safetensors80.8 MB · 94%
From the Hugging Face model README
## Model Details
Instruction finetuned adapter for ABC: Acheiving Better Control of Multiomodal Embeddings using VLMs.
### Model Sources
This model is trained on top of Qwen2VL-Instruct.
### Paper and Website
For more information, please refer to [Website](https://tiger-ai-lab.github.io/ABC/).
## Citation
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
@misc{schneider2025abcachievingbettercontrol, title={ABC: Achieving Better Control of Multimodal Embeddings using VLMs}, author={Benjamin Schneider and Florian Kerschbaum and Wenhu Chen}, year={2025}, eprint={2503.00329}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2503.00329}, }