---
title: Writing-Model-Qwen-32B-thinking
canonical_url: "https://www.modelscope.cn/models/iic/Writing-Model-Qwen-32B-thinking"
md_url: "https://www.modelscope.cn/models/iic/Writing-Model-Qwen-32B-thinking.md"
repository: iic/Writing-Model-Qwen-32B-thinking
last_updated: 2025-03-20
license: apache-2.0
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - qwen2
architectures:
  - Qwen2ForCausalLM
base_model:
  - Qwen/Qwen2.5-32B-Instruct
base_model_relation: finetune
parameters: 32.8B
tensor_type:
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 652
stars: 5
tags:
  - writing
---

# Writing-Model-Qwen-32B-thinking

> Writing-Model-Qwen-32B-thinking - iic 在 ModelScope 开源的模型。WritingBench-Critic-Model-Qwen-32B-thinking

iic/Writing-Model-Qwen-32B-thinking 是 ModelScope 魔搭社区上的 32.8B 参数text-generation模型，采用 apache-2.0 许可，基于 Qwen/Qwen2.5-32B-Instruct 构建，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: iic/Writing-Model-Qwen-32B-thinking
- **License**: apache-2.0
- **Tasks**: text-generation
- **Parameters**: 32.8B
- **Base model**: Qwen/Qwen2.5-32B-Instruct
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: writing
- **Downloads**: 652
- **Stars**: 5
- **Last updated**: 2025-03-20

Source: https://www.modelscope.cn/models/iic/Writing-Model-Qwen-32B-thinking

---

# WritingBench-Critic-Model-Qwen-32B-thinking

<p align="center">
  📃 <a href="https://arxiv.org/abs/2503.05244" target="_blank">[Paper]</a> • 🚀 <a href="https://github.com/X-PLUG/WritingBench" target="_blank">[Github Repo]</a> • 📏 <a href="https://huggingface.co/AQuarterMile/WritingBench-Critic-Model-Qwen-7B" target="_blank">[Critic Model]</a> • ✍️ <a href="https://huggingface.co/AQuarterMile/Writing-Model-Qwen-7B" target="_blank">[Writer-7B]</a> <a href="https://huggingface.co/AQuarterMile/Writing-Model-Qwen-32B-thinking" target="_blank">[Writer-32B]</a>
</p>

This model is fine-tuned from [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on a 12K SFT dataset for writing evaluation tasks.

## 📝 Citation

```
@misc{wu2025writingbench,
      title={WritingBench: A Comprehensive Benchmark for Generative Writing}, 
      author={Yuning Wu and Jiahao Mei and Ming Yan and Chenliang Li and Shaopeng Lai and Yuran Ren and Zijia Wang and Ji Zhang and Mengyue Wu and Qin Jin and Fei Huang},
      year={2025},
      url={https://arxiv.org/abs/2503.05244}, 
}
```