---
title: gptq-Qwen3.6-35B-A3B-4bit-group
canonical_url: "https://www.modelscope.cn/models/potter001/gptq-Qwen3.6-35B-A3B-4bit-group"
md_url: "https://www.modelscope.cn/models/potter001/gptq-Qwen3.6-35B-A3B-4bit-group.md"
repository: potter001/gptq-Qwen3.6-35B-A3B-4bit-group
last_updated: 2026-09-03
license: apache-2.0
model_type:
  - qwen3_5_moe
architectures:
  - Qwen3_5MoeForConditionalGeneration
base_model_relation: quantized
parameters: 36.0B
tensor_type:
  - I32
  - BF16
library_name:
  - safetensors
downloads: 248
stars: 0
---

# gptq-Qwen3.6-35B-A3B-4bit-group

> gptq-Qwen3.6-35B-A3B-4bit-group - potter001 在 ModelScope 开源的模型。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

potter001/gptq-Qwen3.6-35B-A3B-4bit-group 是 ModelScope 魔搭社区上的 36.0B 参数机器学习模型，采用 apache-2.0 许可。

- **Repository**: potter001/gptq-Qwen3.6-35B-A3B-4bit-group
- **License**: apache-2.0
- **Parameters**: 36.0B
- **Downloads**: 248
- **Stars**: 0
- **Last updated**: 2026-09-03

Source: https://www.modelscope.cn/models/potter001/gptq-Qwen3.6-35B-A3B-4bit-group

---

### 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('potter001/gptq-Qwen3.6-35B-A3B-4bit-group')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/potter001/gptq-Qwen3.6-35B-A3B-4bit-group.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>