---
title: Nanonets-OCR-s-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/Nanonets-OCR-s-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/Nanonets-OCR-s-4bit.md"
repository: mlx-community/Nanonets-OCR-s-4bit
last_updated: 2025-07-26
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - qwen2_5_vl
architectures:
  - Qwen2_5_VLForConditionalGeneration
base_model:
  - Qwen/Qwen2.5-VL-3B-Instruct
base_model_relation: quantized
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
inference_backends:
  - "deploy_task vlm/text/emb"
  - "lmdeploy 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 208
stars: 0
tags:
  - OCR
  - pdf2markdown
  - mlx
---

# Nanonets-OCR-s-4bit

> Nanonets-OCR-s-4bit - mlx-community 在 ModelScope 开源的模型。mlx-community/Nanonets-OCR-s-4bit This model was converted to MLX format from nanonets/Nanonets-OCR-s using mlx-vlm version 0.3.2. Refer to the original model card for more details on the model. Use with…

mlx-community/Nanonets-OCR-s-4bit 是 ModelScope 魔搭社区上的image-text-to-text模型，基于 Qwen/Qwen2.5-VL-3B-Instruct 构建，可用 deploy_task vlm/text/emb、lmdeploy 0.9.1、sglang 0.5.2 部署。

- **Repository**: mlx-community/Nanonets-OCR-s-4bit
- **Tasks**: image-text-to-text
- **Base model**: Qwen/Qwen2.5-VL-3B-Instruct
- **Inference backends**: deploy_task vlm/text/emb, lmdeploy 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: OCR, pdf2markdown, mlx
- **Downloads**: 208
- **Stars**: 0
- **Last updated**: 2025-07-26

Source: https://www.modelscope.cn/models/mlx-community/Nanonets-OCR-s-4bit

---

# mlx-community/Nanonets-OCR-s-4bit
This model was converted to MLX format from [`nanonets/Nanonets-OCR-s`]() using mlx-vlm version **0.3.2**.
Refer to the [original model card](https://huggingface.co/nanonets/Nanonets-OCR-s) for more details on the model.
## Use with mlx

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

```bash
python -m mlx_vlm.generate --model mlx-community/Nanonets-OCR-s-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```