---
title: internlm2-wqx-20b
canonical_url: "https://www.modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-wqx-20b"
md_url: "https://www.modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-wqx-20b.md"
repository: Shanghai_AI_Laboratory/internlm2-wqx-20b
last_updated: 2025-03-13
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - internlm2
architectures:
  - InternLM2ForCausalLM
parameters: 19.9B
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: 1322
stars: 0
---

# internlm2-wqx-20b

> internlm2-wqx-20b - Shanghai_AI_Laboratory 在 ModelScope 开源的模型。InternLM2-WQX-20B 🤗 ｜ InternLM2-WQX-VL-20B 🤗

Shanghai_AI_Laboratory/internlm2-wqx-20b 是 ModelScope 魔搭社区上的 19.9B 参数text-generation模型，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: Shanghai_AI_Laboratory/internlm2-wqx-20b
- **Tasks**: text-generation
- **Parameters**: 19.9B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 1322
- **Stars**: 0
- **Last updated**: 2025-03-13

Source: https://www.modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-wqx-20b

---

# InternLM2-WQX-20B
<div align="center">

<img src="https://raw.githubusercontent.com/InternLM/InternLM/main/assets/logo.svg" width="200"/>
  <div> </div>
  <div align="center">
    <b><font size="5">InternLM2-WQX</font></b>
    <sup>
      <a href="https://internlm.intern-ai.org.cn/">
        <i><font size="4">HOT</font></i>
      </a>
    </sup>
    <div> </div>
  </div>

[![license](https://raw.githubusercontent.com/InternLM/InternLM/main/assets/license.svg)](./LICENSE)



InternLM2-WQX-20B <a href="https://huggingface.co/internlm/internlm2-wqx-20b">🤗</a> <a href="https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-wqx-20b/summary"><img src="https://raw.githubusercontent.com/InternLM/InternLM/main/assets/modelscope_logo.png" width="20px"></a> ｜ InternLM2-WQX-VL-20B <a href="https://huggingface.co/internlm/internlm2-wqx-vl-20b">🤗</a> <a href="https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-wqx-vl-20b/summary"><img src="https://raw.githubusercontent.com/InternLM/InternLM/main/assets/modelscope_logo.png" width="20px"></a>
</div>

# Introduction

InternLM2-WQX与InternLM2-WQX-VL是InternLM团队于2024年高考前夕最新推出的文曲星系列模型。

高考覆盖各类学科及题型，同时因其开考前的“绝密性”，被视作中国最具权威的考试之一，成为评估考生综合能力的“试金石”。这一面向人类设计的高难度综合性测试，目前普遍被研究者用于考察大模型的智能水平。InternLM2-WQX系列模型在2024年高考评测集[GAOKAO-Eval](https://github.com/open-compass/GAOKAO-Eval)上取得了优异的成绩，综合表现与GPT-4o相当，且超越了国内外一系列开源大模型，体现了InternLM2-WQX系列模型优秀的性能。

我们即将更新关于文曲星系列模型数据准备的相关说明，敬请期待。


# MD5 Check

```
md5sum ./*
5209adfd6ef7d1724848ff0372362568  ./model-00001-of-00004.safetensors
e37ee2eafecfed543d10dca75998204e  ./model-00002-of-00004.safetensors
ea3da8035b0c2a31c369dd463adf9b52  ./model-00003-of-00004.safetensors
f1ff218f801c69fd4c12c534b64e1b60  ./model-00004-of-00004.safetensors
```

# Citation

```bibtex
@misc{2024internlm2wqx,
    title={https://github.com/InternLM/InternLM-WQX},
    author={InternLM Team},
    howpublished = {\url{https://github.com/InternLM/InternLM-WQX}},
    year={2024}
}
```