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pipeline_tag: image-text-to-text
license: other
license_name: deepseek
license_link: https://huggingface.co/deepseek-ai/deepseek-vl-7b-base/blob/main/LICENSE
base_model: deepseek-ai/deepseek-vl-7b-base
library_name: kerasformers
tags:
- keras
- kerasformers
- deepseek-vl
- vision-language
- image-text-to-text
- arxiv:2403.05525
- pytorch
- jax
- tf
---
## ***See [our collection](https://huggingface.co/collections/kerasformers/deepseek-vl-6a6ea961fe80d98b7c69b489) for all versions of DeepSeek-VL.***
# Run DeepSeek-VL with Keras 3: JAX, PyTorch, or TensorFlow
[](https://github.com/IMvision12/KerasFormers) [](https://imvision12.github.io/KerasFormers/deepseek_vl_hybrid/) [](https://huggingface.co/collections/kerasformers/deepseek-vl-6a6ea961fe80d98b7c69b489)
# kerasformers/deepseek_vl_7b_base
Paper: [DeepSeek-VL: Towards Real-World Vision-Language Understanding (arXiv:2403.05525)](https://arxiv.org/abs/2403.05525) · [HF Papers](https://huggingface.co/papers/2403.05525)
DeepSeek-VL **7B hybrid** uses a dual vision tower (SigLIP @384 + SAM-style @1024) and a 3-way aligner for finer detail and small text. Import from `kerasformers.models.deepseek_vl_hybrid` (not `deepseek_vl`).
For more details on the model, please go to the upstream [model card](https://huggingface.co/deepseek-ai/deepseek-vl-7b-base).
Pure-**Keras 3** conversion of [`deepseek-ai/deepseek-vl-7b-base`](https://huggingface.co/deepseek-ai/deepseek-vl-7b-base) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
This is a **vision-language** (base) checkpoint (`DeepseekVLHybridConditionalGenerate`, 7B base (SigLIP + SAM hybrid)).
## ✨ Quick start
```python
import os
os.environ["KERAS_BACKEND"] = "torch" # or "jax" / "tensorflow"
from PIL import Image
from kerasformers.models.deepseek_vl_hybrid import (
DeepseekVLHybridConditionalGenerate,
DeepseekVLHybridProcessor,
)
model = DeepseekVLHybridConditionalGenerate.from_weights("kerasformers/deepseek_vl_7b_base")
processor = DeepseekVLHybridProcessor.from_weights("kerasformers/deepseek_vl_7b_base")
image = Image.open("your_image.jpg")
inputs = processor(
conversation=[
{
"role": "user",
"content": [
{"type": "image", "image": image},
{"type": "text", "text": "Describe this image in one sentence."},
],
}
]
)
outputs = model.generate(**inputs, max_new_tokens=64)
print(processor.decode(outputs[0]))
```
Load any DeepSeek-VL variant the same way with `from_weights("kerasformers/<variant>")`:
| Variant | Hub | Notes |
|---|---|---|
| `deepseek_vl_1.3b_base` | [`kerasformers/deepseek_vl_1.3b_base`](https://huggingface.co/kerasformers/deepseek_vl_1.3b_base) | 1.3B base |
| `deepseek_vl_1.3b_chat` | [`kerasformers/deepseek_vl_1.3b_chat`](https://huggingface.co/kerasformers/deepseek_vl_1.3b_chat) | 1.3B chat |
| `deepseek_vl_7b_base` | [`kerasformers/deepseek_vl_7b_base`](https://huggingface.co/kerasformers/deepseek_vl_7b_base) | 7B hybrid base |
| `deepseek_vl_7b_chat` | [`kerasformers/deepseek_vl_7b_chat`](https://huggingface.co/kerasformers/deepseek_vl_7b_chat) | 7B hybrid chat |
## Tips
- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
- Prefer `Processor.from_weights(...)` so vision + tokenizer match.
- 7B hybrid is a **different package** than 1.3B; do not mix imports.
- See [docs](https://imvision12.github.io/KerasFormers/deepseek_vl_hybrid/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
- Community / upstream safetensors still work via the `hf:` prefix, e.g. `DeepseekVLHybridConditionalGenerate.from_weights("hf:deepseek-ai/deepseek-vl-7b-base")`.
## Special Thanks
A huge thank you to the DeepSeek-VL authors for creating and releasing these models.
License: DeepSeek (`other` / deepseek). See [LICENSE](https://huggingface.co/deepseek-ai/deepseek-vl-7b-base/blob/main/LICENSE).
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