DeepSeek-OCR 2
DeepSeek-OCR 2 is DeepSeek's 3B-parameter document understanding model based on Visual Causal Flow. It converts document images into structured text or Markdown and supports dynamic-resolution OCR, layout grounding, and local serving through Transformers, vLLM, and SGLang.
Task Fit
Not marked for code agent in the current library.
Not marked for code in the current library.
Not marked for chat in the current library.
Document QA benefits from long context and instruction following.
Image or visual understanding, not necessarily image generation.
Not marked for image generation in the current library.
Not marked for video generation in the current library.
Not marked for voice in the current library.
Source Confidence
Variants and Quant Artifacts
Choose the artifact first; hardware fit follows from RAM, VRAM, format, and runtime.
| Quant | Format | Quality | Min RAM | Reco RAM | Runtime | Action |
|---|---|---|---|---|---|---|
| BF16 | safetensors | high | 12GB | 16GB | transformers, vllm, sglang, docker-model-runner | Plan with this |
Recommended Hardware
Lowest estimated 5-year cost that can run this model.
Enough unified/system memory with a balanced 5-year cost.
Highest local performance signal among compatible hardware.
Benchmarks
No benchmark data is available for this model yet.
Source and Review
Execution evidence
Run DeepSeek-OCR 2 with a documented recipe
Recipes connect hardware, a model artifact, tools, settings, verification, and a reportable result.
No verified recipe is linked to this record yet.
Compatibility estimates remain available in the planner. A recipe appears here only after its exact stack and verification protocol are documented.
Similar Models
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