---
title: simplememvla_rmbench
canonical_url: "https://www.modelscope.cn/models/keithyc/simplememvla_rmbench"
md_url: "https://www.modelscope.cn/models/keithyc/simplememvla_rmbench.md"
repository: keithyc/simplememvla_rmbench
last_updated: 2026-09-09
license: Apache-2.0
model_type:
  - simplememvla
architectures:
  - SimpleMemVLAForActionPrediction
base_model_relation: finetune
parameters: 6.3B
tensor_type:
  - BF16
library_name:
  - safetensors
downloads: 93
stars: 0
---

# simplememvla_rmbench

> simplememvla_rmbench - keithyc 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

keithyc/simplememvla_rmbench 是 ModelScope 魔搭社区上的 6.3B 参数机器学习模型，采用 Apache-2.0 许可。

- **Repository**: keithyc/simplememvla_rmbench
- **License**: Apache-2.0
- **Parameters**: 6.3B
- **Downloads**: 93
- **Stars**: 0
- **Last updated**: 2026-09-09

Source: https://www.modelscope.cn/models/keithyc/simplememvla_rmbench

---

### 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('keithyc/simplememvla_rmbench_60s2fps')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/keithyc/simplememvla_rmbench_60s2fps.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>