---
title: SafeWork-R1-InternVL3-78B
canonical_url: "https://www.modelscope.cn/models/AI45Research/SafeWork-R1-InternVL3-78B"
md_url: "https://www.modelscope.cn/models/AI45Research/SafeWork-R1-InternVL3-78B.md"
repository: AI45Research/SafeWork-R1-InternVL3-78B
last_updated: 2026-02-03
license: apache-2.0
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - internvl_chat
architectures:
  - InternVLChatModel
base_model:
  - OpenGVLab/InternVL3-78B
base_model_relation: finetune
parameters: 71.5B
tensor_type:
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - multilingual
inference_backends:
  - "deploy_task vlm/text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 50
stars: 0
---

# SafeWork-R1-InternVL3-78B

> SafeWork-R1-InternVL3-78B - AI45Research 在 ModelScope 开源的模型。SafeWork-R1-InternVL3-78B

AI45Research/SafeWork-R1-InternVL3-78B 是 ModelScope 魔搭社区上的 71.5B 参数image-text-to-text模型，采用 apache-2.0 许可，基于 OpenGVLab/InternVL3-78B 构建，可用 deploy_task vlm/text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: AI45Research/SafeWork-R1-InternVL3-78B
- **License**: apache-2.0
- **Tasks**: image-text-to-text
- **Parameters**: 71.5B
- **Base model**: OpenGVLab/InternVL3-78B
- **Inference backends**: deploy_task vlm/text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 50
- **Stars**: 0
- **Last updated**: 2026-02-03

Source: https://www.modelscope.cn/models/AI45Research/SafeWork-R1-InternVL3-78B

---

# SafeWork-R1-InternVL3-78B

[📂 GitHub](https://github.com/AI45Lab/SafeWork-R1) · [📜Technical Report](https://arxiv.org/abs/2507.18576) · [💬Online Chat](https://safework-r1.ai45.shlab.org.cn/)

<div align="center">
  <img alt="image" src="https://cdn-uploads.huggingface.co/production/uploads/666fe1a5b07525f0bde69c27/9VqjAkK1Lshl3TVpMFV9-.png">
</div>

## Overview

We introduce SafeWork-R1, a cutting-edge multimodal reasoning model demonstrating the coevolution of safety and general intelligence under the guiding principle of the AI-45° Law.

SafeWork-R1 is built upon the SafeLadder framework, which integrates large-scale, progressive, safety-oriented reinforcement learning post-training supported by multi-principled verifiers. Unlike conventional RLHF that simply learns human preferences, SafeLadder enables SafeWork-R1 to develop intrinsic safety reasoning and self-reflection abilities, leading to emergent safety “aha” moments.

<div align="center">

![ai45](https://cdn-uploads.huggingface.co/production/uploads/666fe1a5b07525f0bde69c27/9UP0ze3exhEHJXanUTyXk.png)

</div>

## Model Zoo

<table>
  <tr>
    <th>Model Variant</th>
    <th>Parameters</th>
    <th>Base Model</th>
    <th>Link</th>
  </tr>
  <tr>
    <td>SafeWork-R1</td>
    <td>72B</td>
    <td>Qwen2.5-VL-72B</td>
    <td><a href="https://huggingface.co/AI45Research/SafeWork-R1">🤗 link</a></td>
  </tr>
  <tr>
    <td>SafeWork-R1-InternVL3-78B</td>
    <td>78B</td>
    <td>InternVL3-78B</td>
    <td><a href="https://huggingface.co/AI45Research/SafeWork-R1-InternVL3-78B">🤗 link</a></td>
  </tr>
  <tr>
    <td>SafeWork-R1-DeepSeek-70B</td>
    <td>70B</td>
    <td>Deepseek-R1-DistillLlama-70B</td>
    <td><a href="https://huggingface.co/AI45Research/SafeWork-R1-DeepSeek-70B">🤗 link</a></td>
  </tr>
  <tr>
    <td>SafeWork-R1-Qwen2.5VL-7B</td>
    <td>7B</td>
    <td>Qwen2.5-VL-7B</td>
    <td><a href="https://huggingface.co/AI45Research/SafeWork-R1-Qwen2.5VL-7B">🤗 link</a></td>
  </tr>
</table>

## License

This project is released under the Apache 2.0 license.

## Citation

If you find this work useful, feel free to give us a cite.

```
@misc{lab2025safework,
  title={SafeWork-R1: Coevolving Safety and Intelligence under the AI-45 Law},
  author={Lab, Shanghai AI and Bao, Yicheng and Chen, Guanxu and Chen, Mingkang and Chen, Yunhao and Chen, Chiyu and Chen, Lingjie and Chen, Sirui and Chen, Xinquan and Cheng, Jie and others},
  journal={arXiv preprint arXiv:2507.18576},
  year={2025}
}
```