---
title: EAGLE3-LLaMA3.1-Instruct-8B-converted
canonical_url: "https://www.modelscope.cn/models/nm-testing/EAGLE3-LLaMA3.1-Instruct-8B-converted"
md_url: "https://www.modelscope.cn/models/nm-testing/EAGLE3-LLaMA3.1-Instruct-8B-converted.md"
repository: nm-testing/EAGLE3-LLaMA3.1-Instruct-8B-converted
last_updated: 2025-07-19
license: "Apache License 2.0"
architectures:
  - Eagle3Speculator
parameters: 950.2M
tensor_type:
  - F32
  - BOOL
  - I64
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 175
stars: 0
---

# EAGLE3-LLaMA3.1-Instruct-8B-converted

> EAGLE3-LLaMA3.1-Instruct-8B-converted - nm-testing 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

nm-testing/EAGLE3-LLaMA3.1-Instruct-8B-converted 是 ModelScope 魔搭社区上的 950.2M 参数机器学习模型，采用 Apache License 2.0 许可。

- **Repository**: nm-testing/EAGLE3-LLaMA3.1-Instruct-8B-converted
- **License**: Apache License 2.0
- **Parameters**: 950.2M
- **Downloads**: 175
- **Stars**: 0
- **Last updated**: 2025-07-19

Source: https://www.modelscope.cn/models/nm-testing/EAGLE3-LLaMA3.1-Instruct-8B-converted

---

### 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('nm-testing/EAGLE3-LLaMA3.1-Instruct-8B-converted')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/nm-testing/EAGLE3-LLaMA3.1-Instruct-8B-converted.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>