ai/granite-docling
Granite Docling是一个多模态图文转文本模型，专为高效文档转换设计，保留Docling核心功能并与Docling Documents无缝集成。
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Granite Docling
!https://github.com/docker/model-cards/raw/refs/heads/main/logos/ibm-280x184-overview.svg
Description
Granite Docling is a multimodal Image-Text-to-Text model engineered for efficient document conversion. It preserves the core features of Docling while maintaining seamless integration with https://docling-project.github.io/docling to ensure full compatibility.
Characteristics
| Attribute | Details |
|---|---|
| Provider | IBM Research |
| Architecture | Based on Idefics2-8B; vision encoder = siglip-base-patch16-512; LLM = Granite 165M |
| Cutoff date | - |
| Languages | English (with experimental support for Japanese, Arabic, Chinese) |
| Tool calling | ❌ |
| Input modalities | Text, Image |
| Output modalities | Text |
| License | https://www.apache.org/licenses/LICENSE-2.0 |
Available model variants
| Model variant | Parameters | Quantization | Context window | VRAM¹ | Size |
|---|---|---|---|---|---|
ai/granite-docling:258Mai/granite-docling:258M-F16ai/granite-docling:latest | 258M | MOSTLY_F16 | 8K tokens | 0.86 GiB | 312.88 MB |
ai/granite-docling:258M-Q8_0 | 258M | MOSTLY_Q8_0 | 8K tokens | 0.72 GiB | 166.28 MB |
¹: VRAM estimated based on model characteristics.
latest→258M
Use this AI model with Docker Model Runner
bashdocker model run ai/granite-docling
***ations
- Best suited for document conversion and extraction workflows (PDF → Markdown/HTML/structured outputs).
- Recommended to use through the Docling library or SDK for optimal integration and inference stability.
- Supports English natively; Japanese, Arabic, and Chinese support is experimental.
Granite-Docling-258M emphasizes layout fidelity and content integrity over creative or open-ended generation. It is released under Apache 2.0 and integrates seamlessly with the Docling ecosystem for structured document AI workflows.
Links
- https://huggingface.co/ibm-granite/granite-docling-258M
- https://huggingface.co/ggml-org/granite-docling-258M-GGUF
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
轩辕镜像加速拉取命令点我查看更多 granite-docling 镜像标签
docker model pull docker.xuanyuan.run/ai/granite-docling:<标签>
DockerHub 原生拉取命令
docker model pull ai/granite-docling:<标签>
镜像拉取常见问题
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用户好评
来自真实用户的反馈，见证轩辕镜像的优质服务
oldzhang
运维工程师
Linux服务器
5
"Docker访问体验非常流畅，大镜像也能快速完成下载。"