metadata
license: apache-2.0
base_model:
- Qwen/Qwen2.5-7B-Instruct
pipeline_tag: text-generation
language:
- en
- zh
Insight-V-Summary
Model Summary
The Insight-V models are 7B parameter models based on Qwen2.5 language model with a context window of 32K tokens.
Oryx offers an on-demand solution to seamlessly and efficiently process visual inputs with arbitrary spatial sizes and temporal lengths.
- Repository: https://github.com/dongyh20/Insight-V
- Languages: English, Chinese
- Paper: https://arxiv.org/abs/xxxx.xxxx
Model Architecture
- Architecture: Pre-trained Oryx-ViT + Qwen2.5-7B
- Data: a mixture of 1.2M image-text data
- Precision: BFloat16
Hardware & Software
- Hardware: 64 * NVIDIA Tesla A100
- Orchestration: HuggingFace Trainer
- Code: Pytorch