Instructions to use zeromodels/deepseek_vl_7b_chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/deepseek_vl_7b_chat with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/deepseek_vl_7b_chat") - Notebooks
- Google Colab
- Kaggle
Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)
Browse files- README.md +17 -17
- kf_config.json → zm_config.json +3 -3
- kf_preprocessor.json → zm_preprocessor.json +40 -40
README.md
CHANGED
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@@ -4,10 +4,10 @@ license: other
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license_name: deepseek
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license_link: https://huggingface.co/deepseek-ai/deepseek-vl-7b-chat/blob/main/LICENSE
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base_model: deepseek-ai/deepseek-vl-7b-chat
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library_name:
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tags:
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- keras
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-
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- deepseek-vl
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- vision-language
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- image-text-to-text
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- tf
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---
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## ***See [our collection](https://huggingface.co/collections/
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# Run DeepSeek-VL with Keras 3: JAX, PyTorch, or TensorFlow
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[](https://arxiv.org/abs/2403.05525) · [HF Papers](https://huggingface.co/papers/2403.05525)
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-
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 `
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For more details on the model, please go to the upstream [model card](https://huggingface.co/deepseek-ai/deepseek-vl-7b-chat).
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Pure-**Keras 3** conversion of [`deepseek-ai/deepseek-vl-7b-chat`](https://huggingface.co/deepseek-ai/deepseek-vl-7b-chat) for [
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This is a **vision-language** (chat) checkpoint (`DeepseekVLHybridConditionalGenerate`, 7B chat (SigLIP + SAM hybrid)).
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os.environ["KERAS_BACKEND"] = "torch" # or "jax" / "tensorflow"
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from PIL import Image
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from
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DeepseekVLHybridConditionalGenerate,
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DeepseekVLHybridProcessor,
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)
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model = DeepseekVLHybridConditionalGenerate.from_weights("
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processor = DeepseekVLHybridProcessor.from_weights("
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image = Image.open("your_image.jpg")
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inputs = processor(
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@@ -66,21 +66,21 @@ outputs = model.generate(**inputs, max_new_tokens=64)
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print(processor.decode(outputs[0]))
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```
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Load any DeepSeek-VL variant the same way with `from_weights("
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| Variant | Hub | Notes |
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|---|---|---|
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| `deepseek_vl_1.3b_base` | [`
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| `deepseek_vl_1.3b_chat` | [`
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| `deepseek_vl_7b_base` | [`
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| `deepseek_vl_7b_chat` | [`
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## Tips
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- Set `KERAS_BACKEND` **before** importing Keras /
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- Prefer `Processor.from_weights(...)` so vision + tokenizer match.
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- 7B hybrid is a **different package** than 1.3B; do not mix imports.
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- See [docs](https://imvision12.github.io/
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- Community / upstream safetensors still work via the `hf:` prefix, e.g. `DeepseekVLHybridConditionalGenerate.from_weights("hf:deepseek-ai/deepseek-vl-7b-chat")`.
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## Special Thanks
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license_name: deepseek
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license_link: https://huggingface.co/deepseek-ai/deepseek-vl-7b-chat/blob/main/LICENSE
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base_model: deepseek-ai/deepseek-vl-7b-chat
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library_name: zeromodels
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tags:
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- keras
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- zeromodels
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- deepseek-vl
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- vision-language
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- image-text-to-text
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- tf
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---
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## ***See [our collection](https://huggingface.co/collections/zeromodels/deepseek-vl-6a6ea961fe80d98b7c69b489) for all versions of DeepSeek-VL.***
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# Run DeepSeek-VL with Keras 3: JAX, PyTorch, or TensorFlow
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[](https://github.com/IMvision12/ZeroModels) [](https://imvision12.github.io/ZeroModels/deepseek_vl_hybrid/) [](https://huggingface.co/collections/zeromodels/deepseek-vl-6a6ea961fe80d98b7c69b489)
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# zeromodels/deepseek_vl_7b_chat
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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)
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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 `zeromodels.models.deepseek_vl_hybrid` (not `deepseek_vl`).
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For more details on the model, please go to the upstream [model card](https://huggingface.co/deepseek-ai/deepseek-vl-7b-chat).
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Pure-**Keras 3** conversion of [`deepseek-ai/deepseek-vl-7b-chat`](https://huggingface.co/deepseek-ai/deepseek-vl-7b-chat) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
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This is a **vision-language** (chat) checkpoint (`DeepseekVLHybridConditionalGenerate`, 7B chat (SigLIP + SAM hybrid)).
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os.environ["KERAS_BACKEND"] = "torch" # or "jax" / "tensorflow"
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from PIL import Image
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from zeromodels.models.deepseek_vl_hybrid import (
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DeepseekVLHybridConditionalGenerate,
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DeepseekVLHybridProcessor,
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)
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model = DeepseekVLHybridConditionalGenerate.from_weights("zeromodels/deepseek_vl_7b_chat")
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processor = DeepseekVLHybridProcessor.from_weights("zeromodels/deepseek_vl_7b_chat")
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image = Image.open("your_image.jpg")
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inputs = processor(
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print(processor.decode(outputs[0]))
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```
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Load any DeepSeek-VL variant the same way with `from_weights("zeromodels/<variant>")`:
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| Variant | Hub | Notes |
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|---|---|---|
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| `deepseek_vl_1.3b_base` | [`zeromodels/deepseek_vl_1.3b_base`](https://huggingface.co/zeromodels/deepseek_vl_1.3b_base) | 1.3B base |
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| `deepseek_vl_1.3b_chat` | [`zeromodels/deepseek_vl_1.3b_chat`](https://huggingface.co/zeromodels/deepseek_vl_1.3b_chat) | 1.3B chat |
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| `deepseek_vl_7b_base` | [`zeromodels/deepseek_vl_7b_base`](https://huggingface.co/zeromodels/deepseek_vl_7b_base) | 7B hybrid base |
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| `deepseek_vl_7b_chat` | [`zeromodels/deepseek_vl_7b_chat`](https://huggingface.co/zeromodels/deepseek_vl_7b_chat) | 7B hybrid chat |
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## Tips
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- Set `KERAS_BACKEND` **before** importing Keras / zeromodels.
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- Prefer `Processor.from_weights(...)` so vision + tokenizer match.
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- 7B hybrid is a **different package** than 1.3B; do not mix imports.
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- See [docs](https://imvision12.github.io/ZeroModels/deepseek_vl_hybrid/) and [Loading Weights](https://imvision12.github.io/ZeroModels/loading_weights/).
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- Community / upstream safetensors still work via the `hf:` prefix, e.g. `DeepseekVLHybridConditionalGenerate.from_weights("hf:deepseek-ai/deepseek-vl-7b-chat")`.
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## Special Thanks
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kf_config.json → zm_config.json
RENAMED
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{
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"library_name": "
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"
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"model_module": "
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"model_class": "DeepseekVLHybridModel",
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"variant": "deepseek_vl_7b_chat",
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"weights": "model.weights.json",
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{
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"library_name": "zeromodels",
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"zeromodels_version": "1.2.1",
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"model_module": "zeromodels.models.deepseek_vl_hybrid",
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"model_class": "DeepseekVLHybridModel",
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"variant": "deepseek_vl_7b_chat",
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"weights": "model.weights.json",
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kf_preprocessor.json → zm_preprocessor.json
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{
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"library_name": "
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"preprocessor_module": "
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"preprocessor_class": "DeepseekVLHybridImageProcessor",
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"variant": "deepseek_vl_7b_chat",
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"size": 384,
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"high_res_size": 1024,
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"min_size": 14,
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"image_mean": [
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0.5,
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"image_std": [
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"high_res_image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"high_res_image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"background_color": [
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127,
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127,
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127
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],
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"high_res_background_color": [
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122,
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116,
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],
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"data_format": null
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}
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{
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"library_name": "zeromodels",
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"zeromodels_version": "1.1.3",
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"preprocessor_module": "zeromodels.models.deepseek_vl_hybrid",
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"preprocessor_class": "DeepseekVLHybridImageProcessor",
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"variant": "deepseek_vl_7b_chat",
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"size": 384,
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"high_res_size": 1024,
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"min_size": 14,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"high_res_image_mean": [
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0.48145466,
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+
0.4578275,
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+
0.40821073
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],
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"high_res_image_std": [
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+
0.26862954,
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+
0.26130258,
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+
0.27577711
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],
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"background_color": [
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127,
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+
127,
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+
127
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+
],
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"high_res_background_color": [
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122,
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+
116,
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+
104
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+
],
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"data_format": null
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}
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