Commit ·
9e53345
0
Parent(s):
Super-squash branch 'main' using huggingface_hub
Browse files- .gitattributes +35 -0
- README.md +90 -0
- kf_config.json +50 -0
- kf_preprocessor.json +41 -0
- model.weights.json +1148 -0
- model_00000.weights.h5 +3 -0
- model_00001.weights.h5 +3 -0
- model_00002.weights.h5 +3 -0
- tokenizer.json +0 -0
.gitattributes
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README.md
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---
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pipeline_tag: image-text-to-text
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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: kerasformers
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tags:
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- keras
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- kerasformers
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- deepseek-vl
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- vision-language
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- image-text-to-text
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- arxiv:2403.05525
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- pytorch
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- jax
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- tf
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---
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## ***See [our collection](https://huggingface.co/collections/kerasformers/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/KerasFormers) [](https://imvision12.github.io/KerasFormers/deepseek_vl_hybrid/) [](https://huggingface.co/collections/kerasformers/deepseek-vl-6a6ea961fe80d98b7c69b489)
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# kerasformers/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 `kerasformers.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 [kerasformers](https://github.com/IMvision12/KerasFormers). 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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## ✨ Quick start
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```python
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import os
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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 kerasformers.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("kerasformers/deepseek_vl_7b_chat")
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processor = DeepseekVLHybridProcessor.from_weights("kerasformers/deepseek_vl_7b_chat")
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image = Image.open("your_image.jpg")
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inputs = processor(
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conversation=[
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{
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"role": "user",
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"content": [
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{"type": "image", "image": image},
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{"type": "text", "text": "Describe this image in one sentence."},
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],
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}
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]
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)
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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("kerasformers/<variant>")`:
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| Variant | Hub | Notes |
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|---|---|---|
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| `deepseek_vl_1.3b_base` | [`kerasformers/deepseek_vl_1.3b_base`](https://huggingface.co/kerasformers/deepseek_vl_1.3b_base) | 1.3B base |
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| `deepseek_vl_1.3b_chat` | [`kerasformers/deepseek_vl_1.3b_chat`](https://huggingface.co/kerasformers/deepseek_vl_1.3b_chat) | 1.3B chat |
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| `deepseek_vl_7b_base` | [`kerasformers/deepseek_vl_7b_base`](https://huggingface.co/kerasformers/deepseek_vl_7b_base) | 7B hybrid base |
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| `deepseek_vl_7b_chat` | [`kerasformers/deepseek_vl_7b_chat`](https://huggingface.co/kerasformers/deepseek_vl_7b_chat) | 7B hybrid chat |
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## Tips
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- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
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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/KerasFormers/deepseek_vl_hybrid/) and [Loading Weights](https://imvision12.github.io/KerasFormers/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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A huge thank you to the DeepSeek-VL authors for creating and releasing these models.
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License: DeepSeek (`other` / deepseek). See [LICENSE](https://huggingface.co/deepseek-ai/deepseek-vl-7b-chat/blob/main/LICENSE).
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kf_config.json
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{
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"library_name": "kerasformers",
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"kerasformers_version": "1.2.1",
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"model_module": "kerasformers.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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"schema_version": 2,
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"weight_dtype": "float16",
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"model_type": "deepseek_vl_hybrid",
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"text_config": {
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"vocab_size": 102400,
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"embed_dim": 4096,
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"mlp_dim": 11008,
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"num_layers": 30,
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"num_heads": 32,
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"num_kv_heads": 32,
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"head_dim": 128,
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"norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"tie_embeddings": false
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},
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"vision_config": {
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"embed_dim": 1024,
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"mlp_dim": 4096,
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"num_layers": 24,
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"num_heads": 16,
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"norm_eps": 1e-06,
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"image_size": 384,
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"patch_size": 16
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},
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"high_res_config": {
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"embed_dim": 768,
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"mlp_dim": 3072,
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"num_layers": 12,
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"num_heads": 12,
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"image_size": 1024,
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"patch_size": 16,
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"output_channels": 256,
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"window_size": 14,
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"global_attn_indexes": [
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2,
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8,
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11
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],
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"norm_eps": 1e-06
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},
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"image_token_id": 100015
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}
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kf_preprocessor.json
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{
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"library_name": "kerasformers",
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"kerasformers_version": "1.1.3",
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"preprocessor_module": "kerasformers.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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model.weights.json
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|
| 977 |
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|
| 978 |
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|
| 979 |
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|
| 980 |
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|
| 981 |
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|
| 982 |
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|
| 983 |
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|
| 984 |
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|
| 985 |
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|
| 986 |
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|
| 987 |
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|
| 988 |
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|
| 989 |
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|
| 990 |
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|
| 991 |
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|
| 992 |
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|
| 993 |
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|
| 994 |
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|
| 995 |
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|
| 996 |
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|
| 997 |
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|
| 998 |
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|
| 999 |
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|
| 1000 |
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|
| 1001 |
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|
| 1002 |
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|
| 1003 |
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|
| 1004 |
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|
| 1005 |
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|
| 1006 |
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|
| 1007 |
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|
| 1008 |
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|
| 1009 |
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|
| 1010 |
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|
| 1011 |
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|
| 1012 |
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|
| 1013 |
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|
| 1014 |
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|
| 1015 |
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|
| 1016 |
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|
| 1017 |
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|
| 1018 |
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|
| 1019 |
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|
| 1020 |
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|
| 1021 |
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|
| 1022 |
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|
| 1023 |
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|
| 1024 |
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|
| 1025 |
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|
| 1026 |
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|
| 1027 |
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|
| 1028 |
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|
| 1029 |
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|
| 1030 |
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|
| 1031 |
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|
| 1032 |
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|
| 1033 |
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|
| 1034 |
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|
| 1035 |
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|
| 1036 |
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|
| 1037 |
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|
| 1038 |
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|
| 1039 |
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|
| 1040 |
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|
| 1041 |
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|
| 1042 |
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|
| 1043 |
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|
| 1044 |
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|
| 1045 |
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|
| 1046 |
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|
| 1047 |
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|
| 1048 |
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|
| 1049 |
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|
| 1050 |
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|
| 1051 |
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|
| 1052 |
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|
| 1053 |
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|
| 1054 |
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|
| 1055 |
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|
| 1056 |
+
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|
| 1057 |
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|
| 1058 |
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|
| 1059 |
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|
| 1060 |
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|
| 1061 |
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|
| 1062 |
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|
| 1063 |
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|
| 1064 |
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|
| 1065 |
+
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|
| 1066 |
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|
| 1067 |
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|
| 1068 |
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|
| 1069 |
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|
| 1070 |
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|
| 1071 |
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|
| 1072 |
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|
| 1073 |
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|
| 1074 |
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|
| 1075 |
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|
| 1076 |
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|
| 1077 |
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|
| 1078 |
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|
| 1079 |
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|
| 1080 |
+
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|
| 1081 |
+
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|
| 1082 |
+
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|
| 1083 |
+
"/layers/deepseek_vl_text_decoder_layer_23/attention/key/vars": "model_00002.weights.h5",
|
| 1084 |
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|
| 1085 |
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|
| 1086 |
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|
| 1087 |
+
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|
| 1088 |
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|
| 1089 |
+
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|
| 1090 |
+
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|
| 1091 |
+
"/layers/deepseek_vl_text_decoder_layer_23/mlp_norm/vars": "model_00002.weights.h5",
|
| 1092 |
+
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|
| 1093 |
+
"/layers/deepseek_vl_text_decoder_layer_24/attention/output_proj/vars": "model_00002.weights.h5",
|
| 1094 |
+
"/layers/deepseek_vl_text_decoder_layer_24/attention/query/vars": "model_00002.weights.h5",
|
| 1095 |
+
"/layers/deepseek_vl_text_decoder_layer_24/attention/value/vars": "model_00002.weights.h5",
|
| 1096 |
+
"/layers/deepseek_vl_text_decoder_layer_24/attention_norm/vars": "model_00002.weights.h5",
|
| 1097 |
+
"/layers/deepseek_vl_text_decoder_layer_24/mlp/down/vars": "model_00002.weights.h5",
|
| 1098 |
+
"/layers/deepseek_vl_text_decoder_layer_24/mlp/gate/vars": "model_00002.weights.h5",
|
| 1099 |
+
"/layers/deepseek_vl_text_decoder_layer_24/mlp/up/vars": "model_00002.weights.h5",
|
| 1100 |
+
"/layers/deepseek_vl_text_decoder_layer_24/mlp_norm/vars": "model_00002.weights.h5",
|
| 1101 |
+
"/layers/deepseek_vl_text_decoder_layer_25/attention/key/vars": "model_00002.weights.h5",
|
| 1102 |
+
"/layers/deepseek_vl_text_decoder_layer_25/attention/output_proj/vars": "model_00002.weights.h5",
|
| 1103 |
+
"/layers/deepseek_vl_text_decoder_layer_25/attention/query/vars": "model_00002.weights.h5",
|
| 1104 |
+
"/layers/deepseek_vl_text_decoder_layer_25/attention/value/vars": "model_00002.weights.h5",
|
| 1105 |
+
"/layers/deepseek_vl_text_decoder_layer_25/attention_norm/vars": "model_00002.weights.h5",
|
| 1106 |
+
"/layers/deepseek_vl_text_decoder_layer_25/mlp/down/vars": "model_00002.weights.h5",
|
| 1107 |
+
"/layers/deepseek_vl_text_decoder_layer_25/mlp/gate/vars": "model_00002.weights.h5",
|
| 1108 |
+
"/layers/deepseek_vl_text_decoder_layer_25/mlp/up/vars": "model_00002.weights.h5",
|
| 1109 |
+
"/layers/deepseek_vl_text_decoder_layer_25/mlp_norm/vars": "model_00002.weights.h5",
|
| 1110 |
+
"/layers/deepseek_vl_text_decoder_layer_26/attention/key/vars": "model_00002.weights.h5",
|
| 1111 |
+
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|
| 1112 |
+
"/layers/deepseek_vl_text_decoder_layer_26/attention/query/vars": "model_00002.weights.h5",
|
| 1113 |
+
"/layers/deepseek_vl_text_decoder_layer_26/attention/value/vars": "model_00002.weights.h5",
|
| 1114 |
+
"/layers/deepseek_vl_text_decoder_layer_26/attention_norm/vars": "model_00002.weights.h5",
|
| 1115 |
+
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|
| 1116 |
+
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|
| 1117 |
+
"/layers/deepseek_vl_text_decoder_layer_26/mlp/up/vars": "model_00002.weights.h5",
|
| 1118 |
+
"/layers/deepseek_vl_text_decoder_layer_26/mlp_norm/vars": "model_00002.weights.h5",
|
| 1119 |
+
"/layers/deepseek_vl_text_decoder_layer_27/attention/key/vars": "model_00002.weights.h5",
|
| 1120 |
+
"/layers/deepseek_vl_text_decoder_layer_27/attention/output_proj/vars": "model_00002.weights.h5",
|
| 1121 |
+
"/layers/deepseek_vl_text_decoder_layer_27/attention/query/vars": "model_00002.weights.h5",
|
| 1122 |
+
"/layers/deepseek_vl_text_decoder_layer_27/attention/value/vars": "model_00002.weights.h5",
|
| 1123 |
+
"/layers/deepseek_vl_text_decoder_layer_27/attention_norm/vars": "model_00002.weights.h5",
|
| 1124 |
+
"/layers/deepseek_vl_text_decoder_layer_27/mlp/down/vars": "model_00002.weights.h5",
|
| 1125 |
+
"/layers/deepseek_vl_text_decoder_layer_27/mlp/gate/vars": "model_00002.weights.h5",
|
| 1126 |
+
"/layers/deepseek_vl_text_decoder_layer_27/mlp/up/vars": "model_00002.weights.h5",
|
| 1127 |
+
"/layers/deepseek_vl_text_decoder_layer_27/mlp_norm/vars": "model_00002.weights.h5",
|
| 1128 |
+
"/layers/deepseek_vl_text_decoder_layer_28/attention/key/vars": "model_00002.weights.h5",
|
| 1129 |
+
"/layers/deepseek_vl_text_decoder_layer_28/attention/output_proj/vars": "model_00002.weights.h5",
|
| 1130 |
+
"/layers/deepseek_vl_text_decoder_layer_28/attention/query/vars": "model_00002.weights.h5",
|
| 1131 |
+
"/layers/deepseek_vl_text_decoder_layer_28/attention/value/vars": "model_00002.weights.h5",
|
| 1132 |
+
"/layers/deepseek_vl_text_decoder_layer_28/attention_norm/vars": "model_00002.weights.h5",
|
| 1133 |
+
"/layers/deepseek_vl_text_decoder_layer_28/mlp/down/vars": "model_00002.weights.h5",
|
| 1134 |
+
"/layers/deepseek_vl_text_decoder_layer_28/mlp/gate/vars": "model_00002.weights.h5",
|
| 1135 |
+
"/layers/deepseek_vl_text_decoder_layer_28/mlp/up/vars": "model_00002.weights.h5",
|
| 1136 |
+
"/layers/deepseek_vl_text_decoder_layer_28/mlp_norm/vars": "model_00002.weights.h5",
|
| 1137 |
+
"/layers/deepseek_vl_text_decoder_layer_29/attention/key/vars": "model_00002.weights.h5",
|
| 1138 |
+
"/layers/deepseek_vl_text_decoder_layer_29/attention/output_proj/vars": "model_00002.weights.h5",
|
| 1139 |
+
"/layers/deepseek_vl_text_decoder_layer_29/attention/query/vars": "model_00002.weights.h5",
|
| 1140 |
+
"/layers/deepseek_vl_text_decoder_layer_29/attention/value/vars": "model_00002.weights.h5",
|
| 1141 |
+
"/layers/deepseek_vl_text_decoder_layer_29/attention_norm/vars": "model_00002.weights.h5",
|
| 1142 |
+
"/layers/deepseek_vl_text_decoder_layer_29/mlp/down/vars": "model_00002.weights.h5",
|
| 1143 |
+
"/layers/deepseek_vl_text_decoder_layer_29/mlp/gate/vars": "model_00002.weights.h5",
|
| 1144 |
+
"/layers/deepseek_vl_text_decoder_layer_29/mlp/up/vars": "model_00002.weights.h5",
|
| 1145 |
+
"/layers/deepseek_vl_text_decoder_layer_29/mlp_norm/vars": "model_00002.weights.h5",
|
| 1146 |
+
"/layers/deepseek_vl_text_rms_norm/vars": "model_00002.weights.h5"
|
| 1147 |
+
}
|
| 1148 |
+
}
|
model_00000.weights.h5
ADDED
|
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:238756cfb6897451a4c6f33b0250b23570ab787a71fa2d71c8de7c04e13de067
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| 3 |
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size 5358603448
|
model_00001.weights.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:98064d33bf4bb65137eea3547e6cddc1dc6d84e757063176bba5368fd96fb30d
|
| 3 |
+
size 5363021928
|
model_00002.weights.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e4ec91b2c50012eae0a9c3a9a3d4f54f9f1849b1e0cb33aca3cb5da59b58d5f
|
| 3 |
+
size 3104129152
|
tokenizer.json
ADDED
|
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|
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