metadata
license: apache-2.0
datasets:
- THUdyh/Oryx-Image-Data
base_model:
- Qwen/Qwen2-7B-Instruct
pipeline_tag: text-generation
language:
- en
- zh
Oryx-34B-Image
Model Summary
The Oryx-Image models are 7/34B parameter models trained on Oryx-Image-Data, based on Qwen2 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/Oryx-mllm/Oryx
- Languages: English, Chinese
- Paper: https://arxiv.org/abs/2409.12961
Model Architecture
- Architecture: Pre-trained Oryx-ViT + Yi-1.5-34B
- Data: a mixture of 4M image data
- Precision: BFloat16
Hardware & Software
- Hardware: 64 * NVIDIA Tesla A100
- Orchestration: HuggingFace Trainer
- Code: Pytorch