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

This commit is contained in:
baonudesifeizhai
2026-01-30 09:49:51 +08:00
committed by GitHub
parent 2cd2c3118d
commit 84ab611af8
9 changed files with 620 additions and 142 deletions
@@ -30,6 +30,7 @@ in the GitHub search bar.
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| **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. | |