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---
language:
- en
license: apache-2.0
---
This is BLIP3o-8B checkpoint trained on the **open source** data.
| Model | Pretrain Data | GenEval | DBP | WISE |
|---------------------|-----------------------------------------------------------|---------|--------|------|
| 4B (open source) | 30 million open-source data | 0.81 | 79.36 | 0.50 |
| 8B (open source) | 30 million open-source data | 0.83 | 80.73 | 0.52 |
| 8B (paper reported) | 30 million open-source + 30 million proprietary data | 0.84 | 81.60 | 0.62 |
Here is the category results for WISE.
| Model | Pretrain Data | Cultural | Time | Space | Biology | Physics | Chemistry | Overall |
| :--------------: | :-------------------------: | :------: | :--: | :---: | :-----: | :-----: | :-------: | :-----: |
| 8B (open source) | 30 million open-source data | 0.49 | 0.51 | 0.63 | 0.54 | 0.63 | 0.37 | 0.52 |
| 8B (paper reported) | 30 million open-source + 30 million proprietary data| 0.63 | 0.57 | 0.70 | 0.62 | 0.66 | 0.51 | 0.62 |
### Download
```
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="BLIP3o/BLIP3o-Model-8B",
repo_type="model"
)
```
Clone the repo (if you haven’t already) and install the environment:
```
git clone https://github.com/JiuhaiChen/BLIP3o.git
```
Change to the demo folder:
```
cd gradio
```
Launch with your model path:
```
python app.py /path/to/your/model
```
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