---
title: dots.mocr-8bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/dots.mocr-8bit"
md_url: "https://www.modelscope.cn/models/mlx-community/dots.mocr-8bit.md"
repository: mlx-community/dots.mocr-8bit
last_updated: 2026-04-04
license: mit
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - dots_ocr
architectures:
  - DotsOCRForCausalLM
base_model:
  - rednote-hilab/dots.mocr
base_model_relation: quantized
parameters: 1.8B
tensor_type:
  - U32
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
  - zh
  - multilingual
downloads: 22
stars: 0
tags:
  - image-to-text
  - ocr
  - document-parse
  - layout
  - table
  - formula
  - transformers
  - custom_code
  - mlx
---

# dots.mocr-8bit

> dots.mocr-8bit - mlx-community 在 ModelScope 开源的模型。mlx-community/dots.mocr-8bit

mlx-community/dots.mocr-8bit 是 ModelScope 魔搭社区上的 1.8B 参数image-text-to-text模型，采用 mit 许可，基于 rednote-hilab/dots.mocr 构建。

- **Repository**: mlx-community/dots.mocr-8bit
- **License**: mit
- **Tasks**: image-text-to-text
- **Parameters**: 1.8B
- **Base model**: rednote-hilab/dots.mocr
- **Tags**: image-to-text, ocr, document-parse, layout, table, formula, transformers, custom_code, mlx
- **Downloads**: 22
- **Stars**: 0
- **Last updated**: 2026-04-04

Source: https://www.modelscope.cn/models/mlx-community/dots.mocr-8bit

---

# mlx-community/dots.mocr-8bit

This model was converted to MLX format from [`rednote-hilab/dots.mocr`](https://huggingface.co/rednote-hilab/dots.mocr)
using mlx-vlm version **0.4.1**.
Refer to the [original model card](https://huggingface.co/rednote-hilab/dots.mocr) 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.mocr-8bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```