---
title: qwen2-tiny-zh
canonical_url: "https://www.modelscope.cn/models/wssb123e/qwen2-tiny-zh"
md_url: "https://www.modelscope.cn/models/wssb123e/qwen2-tiny-zh.md"
repository: wssb123e/qwen2-tiny-zh
last_updated: 2026-09-23
license: apache-2.0
model_type:
  - qwen2
architectures:
  - Qwen2ForCausalLM
library_name:
  - transformer
  - safetensors
language:
  - zh
  - en
downloads: 301
stars: 0
tags:
  - text-generation
  - qwen2
---

# qwen2-tiny-zh

> qwen2-tiny-zh - wssb123e 在 ModelScope 开源的模型。轻量级中文文本生成模型 (Qwen2 架构)，用于本地推理与微调实验。

wssb123e/qwen2-tiny-zh 是 ModelScope 魔搭社区上的机器学习模型，采用 apache-2.0 许可。

- **Repository**: wssb123e/qwen2-tiny-zh
- **License**: apache-2.0
- **Tags**: text-generation, qwen2
- **Downloads**: 301
- **Stars**: 0
- **Last updated**: 2026-09-23

Source: https://www.modelscope.cn/models/wssb123e/qwen2-tiny-zh

---

# qwen2-tiny-zh

轻量级中文文本生成模型 (Qwen2 架构)，用于本地推理与微调实验。

## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("wssb123e/qwen2-tiny-zh", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("wssb123e/qwen2-tiny-zh", trust_remote_code=True)
```

## Files
- config.json
- modeling_qwen2.py
- pytorch_model.bin
- tokenizer.json / tokenizer_config.json