model: support DeepSeek-OCR-2 (#17897)

docs/basic_usage/deepseek_ocr.md

@@ -0,0 +1,54 @@
+# DeepSeek OCR (OCR-1 / OCR-2)
+
+DeepSeek OCR models are multimodal (image + text) models for OCR and document understanding.
+
+## Launch server
+
+```shell
+python -m sglang.launch_server \
+  --model-path deepseek-ai/DeepSeek-OCR-2 \
+  --trust-remote-code \
+  --host 0.0.0.0 \
+  --port 30000
+```
+
+> You can replace `deepseek-ai/DeepSeek-OCR-2` with `deepseek-ai/DeepSeek-OCR`.
+
+## Prompt examples
+
+Recommended prompts from the model card:
+
+```
+<image>
+<|grounding|>Convert the document to markdown.
+```
+
+```
+<image>
+Free OCR.
+```
+
+## OpenAI-compatible request example
+
+```python
+import requests
+
+url = "http://localhost:30000/v1/chat/completions"
+
+data = {
+    "model": "deepseek-ai/DeepSeek-OCR-2",
+    "messages": [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": "<image>\n<|grounding|>Convert the document to markdown."},
+                {"type": "image_url", "image_url": {"url": "https://example.com/your_image.jpg"}},
+            ],
+        }
+    ],
+    "max_tokens": 512,
+}
+
+response = requests.post(url, json=data)
+print(response.text)
+```

docs/index.rst

@@ -33,6 +33,7 @@ Its core features include:
    basic_usage/ollama_api.md
    basic_usage/offline_engine_api.ipynb
    basic_usage/native_api.ipynb
+   basic_usage/deepseek_ocr.md
    basic_usage/sampling_params.md
    basic_usage/popular_model_usage.rst
 

docs/supported_models/multimodal_language_models.md

@@ -30,6 +30,7 @@ in the GitHub search bar.
 |----------------------------|--------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------|
 | **Qwen-VL** | `Qwen/Qwen3-VL-235B-A22B-Instruct`              | Alibaba's vision-language extension of Qwen; for example, Qwen2.5-VL (7B and larger variants) can analyze and converse about image content.                                                                     |  |
 | **DeepSeek-VL2**           | `deepseek-ai/deepseek-vl2`                 | Vision-language variant of DeepSeek (with a dedicated image processor), enabling advanced multimodal reasoning on image and text inputs.                                                                        |  |
+| **DeepSeek-OCR / OCR-2**   | `deepseek-ai/DeepSeek-OCR-2`               | OCR-focused DeepSeek models for document understanding and text extraction.                                                                                                                                    | Use `--trust-remote-code`. |
 | **Janus-Pro** (1B, 7B)     | `deepseek-ai/Janus-Pro-7B`                 | DeepSeek's open-source multimodal model capable of both image understanding and generation. Janus-Pro employs a decoupled architecture for separate visual encoding paths, enhancing performance in both tasks. |  |
 | **MiniCPM-V / MiniCPM-o**  | `openbmb/MiniCPM-V-2_6`                    | MiniCPM-V (2.6, ~8B) supports image inputs, and MiniCPM-o adds audio/video; these multimodal LLMs are optimized for end-side deployment on mobile/edge devices.                                                 |  |
 | **Llama 3.2 Vision** (11B) | `meta-llama/Llama-3.2-11B-Vision-Instruct` | Vision-enabled variant of Llama 3 (11B) that accepts image inputs for visual question answering and other multimodal tasks.                                                                                     |  |