---
title: dots.ocr-bf16
canonical_url: "https://www.modelscope.cn/models/mlx-community/dots.ocr-bf16"
md_url: "https://www.modelscope.cn/models/mlx-community/dots.ocr-bf16.md"
repository: mlx-community/dots.ocr-bf16
last_updated: 2026-02-17
license: mit
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - dots_ocr
architectures:
  - DotsOCRForCausalLM
parameters: 368.3M
tensor_type:
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
  - zh
  - multilingual
downloads: 50
stars: 0
tags:
  - image-to-text
  - ocr
  - document-parse
  - layout
  - table
  - formula
  - transformers
  - custom_code
  - mlx
---

# dots.ocr-bf16

> dots.ocr-bf16 - mlx-community 在 ModelScope 开源的模型。mlx-community/dots.ocr-bf16 This model was converted to MLX format from rednote-hilab/dots.ocr using mlx-vlm version 0.3.12. Refer to the original model card for more details on the model. Use with mlx

mlx-community/dots.ocr-bf16 是 ModelScope 魔搭社区上的 368.3M 参数image-text-to-text模型，采用 mit 许可。

- **Repository**: mlx-community/dots.ocr-bf16
- **License**: mit
- **Tasks**: image-text-to-text
- **Parameters**: 368.3M
- **Tags**: image-to-text, ocr, document-parse, layout, table, formula, transformers, custom_code, mlx
- **Downloads**: 50
- **Stars**: 0
- **Last updated**: 2026-02-17

Source: https://www.modelscope.cn/models/mlx-community/dots.ocr-bf16

---

# mlx-community/dots.ocr-bf16
This model was converted to MLX format from [`rednote-hilab/dots.ocr`]() using mlx-vlm version **0.3.12**.
Refer to the [original model card](https://huggingface.co/rednote-hilab/dots.ocr) for more details on the model.
## Use with mlx

```bash
pip install -U mlx-vlm
```

```bash
python -m mlx_vlm.generate --model mlx-community/dots.ocr-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```