---
title: mem-agent-MLX
canonical_url: "https://www.modelscope.cn/models/driaforall/mem-agent-MLX"
md_url: "https://www.modelscope.cn/models/driaforall/mem-agent-MLX.md"
repository: driaforall/mem-agent-MLX
last_updated: 2025-08-31
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - qwen3
architectures:
  - Qwen3ForCausalLM
base_model:
  - driaforall/mem-agent
base_model_relation: finetune
parameters: 4.0B
tensor_type:
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 7
stars: 0
tags:
  - mlx
---

# mem-agent-MLX

> mem-agent-MLX - driaforall 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

driaforall/mem-agent-MLX 是 ModelScope 魔搭社区上的 4.0B 参数text-generation模型，基于 driaforall/mem-agent 构建，可用 deploy_task text/emb、lmdeploy_turbomind 0.9.1、sglang 0.5.2 部署。

- **Repository**: driaforall/mem-agent-MLX
- **Tasks**: text-generation
- **Parameters**: 4.0B
- **Base model**: driaforall/mem-agent
- **Inference backends**: deploy_task text/emb, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: mlx
- **Downloads**: 7
- **Stars**: 0
- **Last updated**: 2025-08-31

Source: https://www.modelscope.cn/models/driaforall/mem-agent-MLX

---

### 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('driaforall/mem-agent-MLX')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/driaforall/mem-agent-MLX.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>