---
title: SenseNova-U1-8B-MoT-LoRAs
canonical_url: "https://www.modelscope.ai/models/SenseNova/SenseNova-U1-8B-MoT-LoRAs"
md_url: "https://www.modelscope.ai/models/SenseNova/SenseNova-U1-8B-MoT-LoRAs.md"
repository: SenseNova/SenseNova-U1-8B-MoT-LoRAs
last_updated: 2026-06-12
license: apache-2.0
parameters: 818.7M
tensor_type:
  - I32
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 277
stars: 0
---

# SenseNova-U1-8B-MoT-LoRAs

> SenseNova-U1-8B-MoT-LoRAs - An open-source model by SenseNova on ModelScope. 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

SenseNova/SenseNova-U1-8B-MoT-LoRAs is a 818.7M-parameter machine learning model on ModelScope. licensed under apache-2.0.

- **Repository**: SenseNova/SenseNova-U1-8B-MoT-LoRAs
- **License**: apache-2.0
- **Parameters**: 818.7M
- **Downloads**: 277
- **Stars**: 0
- **Last updated**: 2026-06-12

Source: https://www.modelscope.ai/models/SenseNova/SenseNova-U1-8B-MoT-LoRAs

---

### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

SDK下载
```bash
#安装ModelScope
pip install modelscope
```
```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('SenseNova/SenseNova-U1-8B-MoT-LoRAs')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.ai/SenseNova/SenseNova-U1-8B-MoT-LoRAs.git
```

<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>