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LICENSE.txt

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README.md

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+---
+pipeline_tag: image-text-to-text
+language:
+- multilingual
+tags:
+- deepseek
+- vision-language
+- ocr
+- custom_code
+license: apache-2.0
+library_name: transformers
+---
+<div align="center">
+  <img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek AI" />
+</div>
+<hr>
+<div align="center">
+  <a href="https://www.deepseek.com/" target="_blank">
+    <img alt="Homepage" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/badge.svg?raw=true" />
+  </a>
+  <a href="https://huggingface.co/deepseek-ai/DeepSeek-OCR-2" target="_blank">
+    <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-DeepSeek%20AI-ffc107?color=ffc107&logoColor=white" />
+  </a>
+
+</div>
+
+<div align="center">
+
+  <a href="https://discord.gg/Tc7c45Zzu5" target="_blank">
+    <img alt="Discord" src="https://img.shields.io/badge/Discord-DeepSeek%20AI-7289da?logo=discord&logoColor=white&color=7289da" />
+  </a>
+  <a href="https://twitter.com/deepseek_ai" target="_blank">
+    <img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-deepseek_ai-white?logo=x&logoColor=white" />
+  </a>
+
+</div>
+
+
+
+<p align="center">
+  <a href="https://github.com/deepseek-ai/DeepSeek-OCR-2"><b>🌟 Github</b></a> |
+  <a href="https://huggingface.co/deepseek-ai/DeepSeek-OCR-2"><b>📥 Model Download</b></a> |
+  <a href="https://github.com/deepseek-ai/DeepSeek-OCR-2/blob/main/DeepSeek_OCR2_paper.pdf"><b>📄 Paper Link</b></a> |
+  <a href="https://github.com/deepseek-ai/DeepSeek-OCR-2/blob/main/DeepSeek_OCR2_paper.pdf"><b>📄 Arxiv Paper Link</b></a> |
+</p>
+<h2>
+<p align="center">
+  <a href="">DeepSeek-OCR 2: Visual Causal Flow</a>
+</p>
+</h2>
+<p align="center">
+<img src="assets/fig1.png" style="width: 900px" align=center>
+</p>
+<p align="center">
+<a href="">Explore more human-like visual encoding.</a>       
+</p>
+
+## Usage
+
+Inference using Huggingface transformers on NVIDIA GPUs. Requirements tested on python 3.12.9 + CUDA11.8：
+
+```
+torch==2.6.0
+transformers==4.46.3
+tokenizers==0.20.3
+einops
+addict 
+easydict
+pip install flash-attn==2.7.3 --no-build-isolation
+```
+
+```python
+from transformers import AutoModel, AutoTokenizer
+import torch
+import os
+os.environ["CUDA_VISIBLE_DEVICES"] = '0'
+model_name = 'deepseek-ai/DeepSeek-OCR-2'
+
+tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
+model = AutoModel.from_pretrained(model_name, _attn_implementation='flash_attention_2', trust_remote_code=True, use_safetensors=True)
+model = model.eval().cuda().to(torch.bfloat16)
+
+# prompt = "<image>\nFree OCR. "
+prompt = "<image>\n<|grounding|>Convert the document to markdown. "
+image_file = 'your_image.jpg'
+output_path = 'your/output/dir'
+
+
+res = model.infer(tokenizer, prompt=prompt, image_file=image_file, output_path = output_path, base_size = 1024, image_size = 768, crop_mode=True, save_results = True)
+```
+
+## vLLM
+
+
+Refer to [🌟GitHub](https://github.com/deepseek-ai/DeepSeek-OCR-2/) for guidance on model inference acceleration and PDF processing, etc.<!--  -->
+
+## Support-Modes
+- Dynamic resolution
+  - Default: (0-6)×768×768 + 1×1024×1024 — (0-6)×144 + 256 visual tokens ✅
+
+## Main Prompts
+```python
+# document: <image>\n<|grounding|>Convert the document to markdown.
+# without layouts: <image>\nFree OCR.
+```
+
+
+## Acknowledgement
+
+We would like to thank [DeepSeek-OCR](https://github.com/deepseek-ai/DeepSeek-OCR/), [Vary](https://github.com/Ucas-HaoranWei/Vary/), [GOT-OCR2.0](https://github.com/Ucas-HaoranWei/GOT-OCR2.0/), [MinerU](https://github.com/opendatalab/MinerU), [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) for their valuable models and ideas.
+
+We also appreciate the benchmark [OmniDocBench](https://github.com/opendatalab/OmniDocBench).
+
+
+## Citation
+
+```bibtex
+coming soon~

config.json

@@ -0,0 +1,114 @@
+{
+ "_name_or_path": "deepseek-ai/DeepSeek-OCR-2",
+  "candidate_resolutions": [
+  [
+   1024,
+   1024
+  ]
+ ],
+ "global_view_pos": "head",
+  "architectures": [
+      "DeepseekOCR2ForCausalLM"
+    ],
+  "auto_map": {
+    "AutoConfig": "modeling_deepseekocr2.DeepseekOCR2Config",
+    "AutoModel": "modeling_deepseekocr2.DeepseekOCR2ForCausalLM"
+  },
+ "language_config": {
+    "architectures": [
+      "DeepseekV2ForCausalLM"
+    ],
+    "auto_map": {
+      "AutoConfig": "configuration_deepseekv2.DeepseekV2Config",
+      "AutoModel": "modeling_deepseek.DeepseekV2Model",
+      "AutoModelForCausalLM": "modeling_deepseek.DeepseekV2ForCausalLM"
+    },
+    "bos_token_id": 0,
+    "eos_token_id": 1,
+    "first_k_dense_replace": 1,
+    "hidden_size": 1280,
+    "intermediate_size": 6848,
+    "kv_lora_rank": null,
+    "lm_head": true,
+    "max_position_embeddings": 8192,
+    "moe_intermediate_size": 896,
+    "n_group": 1,
+    "n_routed_experts": 64,
+    "n_shared_experts": 2,
+    "num_attention_heads": 10,
+    "num_experts_per_tok": 6,
+    "num_hidden_layers": 12,
+    "num_key_value_heads": 10,
+    "q_lora_rank": null,
+    "qk_nope_head_dim": 0,
+    "qk_rope_head_dim": 0,
+    "rm_head": false,
+    "topk_group": 1,
+    "topk_method": "greedy",
+    "torch_dtype": "bfloat16",
+    "use_mla": false,
+    "v_head_dim": 0,
+    "vocab_size": 129280
+  },
+ "model_type": "deepseek_vl_v2",
+ "projector_config": {
+  "input_dim": 896,
+  "model_type": "mlp_projector",
+  "n_embed": 1280,
+  "projector_type": "linear"
+ },
+ "tile_tag": "2D",
+ "torch_dtype": "bfloat16",
+ "transformers_version": "4.46.3",
+ "vision_config": {
+  "image_size": 1024,
+  "mlp_ratio": 3.7362,
+  "model_name": "deepencoderv2",
+  "model_type": "vision",
+  "width": {
+   "qwen2-0-5b": {
+    "dim": 896
+   },
+   "sam_vit_b": {
+    "downsample_channels": [
+     512,
+     1024
+    ],
+    "global_attn_indexes": [
+     2,
+     5,
+     8,
+     11
+    ],
+    "heads": 12,
+    "layers": 12,
+    "width": 768
+   }
+  }
+ },
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "first_k_dense_replace": 1,
+  "hidden_size": 1280,
+  "intermediate_size": 6848,
+  "kv_lora_rank": null,
+  "lm_head": true,
+  "max_position_embeddings": 8192,
+  "moe_intermediate_size": 896,
+  "n_group": 1,
+  "n_routed_experts": 64,
+  "n_shared_experts": 2,
+  "num_attention_heads": 10,
+  "num_experts_per_tok": 6,
+  "num_hidden_layers": 12,
+  "num_key_value_heads": 10,
+  "q_lora_rank": null,
+  "qk_nope_head_dim": 0,
+  "qk_rope_head_dim": 0,
+  "rm_head": false,
+  "topk_group": 1,
+  "topk_method": "greedy",
+  "use_mla": false,
+  "v_head_dim": 0,
+  "vocab_size": 129280
+}

model-00001-of-00001.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:13ddc5cc6d0431fcc00dc43d4c6718953b42650c9fc8d378db9f88b780bed35a
+size 3968451843

processor_config.json

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+{
+  "add_special_token": false,
+  "candidate_resolutions": [
+    [
+      1024,
+      1024
+    ]
+  ],
+  "downsample_ratio": 4,
+  "ignore_id": -100,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_token": "<image>",
+  "mask_prompt": false,
+  "normalize": true,
+  "pad_token": "<\uff5c\u2581pad\u2581\uff5c>",
+  "patch_size": 16,
+  "processor_class": "DeepseekVLV2Processor",
+  "sft_format": "deepseek"
+}

special_tokens_map.json

@@ -0,0 +1,39 @@
+{
+  "additional_special_tokens": [
+    {
+      "content": "<|User|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|Assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜▁pad▁｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}