InternLM2.5 已开源一个20亿参数的基础模型和一个针对实际场景定制的聊天模型。

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6f45f1becaa6 · 11GB

model
internlm2
·
19.9B
·
Q4_0
system
You are a helpful assistant.
params
{"stop":["<|im_start|>","<|im_end|>"]}
template
{{ if .System }}<|im_start|>system {{ .System }}<|im_end|> {{ end }}{{ if .Prompt }}<|im_start|>user {{ .Prompt }}<|im_end|> {{ end }}<|im_start|>assistant {{ .Response }}<|im_end|>
license
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README

InternLM

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简介

InternLM2.5 已开源一个20亿参数的基础模型和一个针对实际场景定制的聊天模型。该模型具有以下特点

  • 20K上下文窗口:几乎可以完美地在乱糟糟的环境中找到“针”,在像LongBench和L-Eval这样的长上下文任务中表现出领先性能。试试使用LMDeploy进行20K上下文推理。

  • 卓越的综合性能:所有维度上均明显优于上一代产品,特别是在推理、数学、代码、聊天体验、指令遵循和创意写作方面,在相同规模的开放式模型中处于领先地位。在某些评估中,InternLM2-Chat-20B可能与ChatGPT(GPT-3.5)相匹配甚至超过它。

  • 卓越的推理能力:在数学推理上达到了最先进的性能,超越了Llama3和Gemma2-27B这样的模型。

  • 更强的工具使用能力:InternLM2.5可以收集超过100个网页的信息,相应的实现已经在MindSearch发布。InternLM2.5在指令遵循、工具选择和反思方面有更好的工具利用相关能力。请参见示例

InternLM2.5-20B-Chat

性能评估

我们使用开源评估工具OpenCompass对InternLM进行了全面评估。评估涵盖了五个能力维度:学科能力、语言能力、知识能力、推理能力和理解能力。以下是部分评估结果,更多信息可访问OpenCompass排行榜

基准 InternLM2.5-20B-Chat Gemma2-27B-IT
MMLU(5次射击) 73.5 75.0
CMMLU(5次射击) 79.7 63.3
BBH(3次CoT) 76.3 71.5
MATH(0次CoT) 64.7 50.1
GPQA(0次射击) 33.3 29.3
  • 评估结果从OpenCompass获得,评估配置可以在OpenCompass提供的配置文件中找到。
  • 由于OpenCompass的版本迭代,评估数据可能会有数值差异,请参阅OpenCompass的最新评估结果。

局限性:尽管我们已努力确保在训练过程中模型的安全并鼓励模型生成符合道德和法律要求的文本,但由于模型的规模和概率生成范式,模型仍可能产生意外的输出。例如,生成的回复可能包含偏见、歧视或其他有害内容。请不要传播此类内容。我们对任何由于有害信息的传播而产生的后果不承担责任。

开源许可

代码根据Apache-2.0授权,而模型权重完全开放用于学术研究,并允许免费的商业使用。如需申请商业许可,请填写英文申请表/中文申请表。对于其他问题或合作,请联系[email protected]

引用

@misc{cai2024internlm2,
      title={InternLM2 Technical Report},
      author={Zheng Cai and Maosong Cao and Haojiong Chen and Kai Chen and Keyu Chen and Xin Chen and Xun Chen and Zehui Chen and Zhi Chen and Pei Chu and Xiaoyi Dong and Haodong Duan and Qi Fan and Zhaoye Fei and Yang Gao and Jiaye Ge and Chenya Gu and Yuzhe Gu and Tao Gui and Aijia Guo and Qipeng Guo and Conghui He and Yingfan Hu and Ting Huang and Tao Jiang and Penglong Jiao and Zhenjiang Jin and Zhikai Lei and Jiaxing Li and Jingwen Li and Linyang Li and Shuaibin Li and Wei Li and Yining Li and Hongwei Liu and Jiangning Liu and Jiawei Hong and Kaiwen Liu and Kuikun Liu and Xiaoran Liu and Chengqi Lv and Haijun Lv and Kai Lv and Li Ma and Runyuan Ma and Zerun Ma and Wenchang Ning and Linke Ouyang and Jiantao Qiu and Yuan Qu and Fukai Shang and Yunfan Shao and Demin Song and Zifan Song and Zhihao Sui and Peng Sun and Yu Sun and Huanze Tang and Bin Wang and Guoteng Wang and Jiaqi Wang and Jiayu Wang and Rui Wang and Yudong Wang and Ziyi Wang and Xingjian Wei and Qizhen Weng and Fan Wu and Yingtong Xiong and Chao Xu and Ruiliang Xu and Hang Yan and Yirong Yan and Xiaogui Yang and Haochen Ye and Huaiyuan Ying and Jia Yu and Jing Yu and Yuhang Zang and Chuyu Zhang and Li Zhang and Pan Zhang and Peng Zhang and Ruijie Zhang and Shuo Zhang and Songyang Zhang and Wenjian Zhang and Wenwei Zhang and Xingcheng Zhang and Xinyue Zhang and Hui Zhao and Qian Zhao and Xiaomeng Zhao and Fengzhe Zhou and Zaida Zhou and Jingming Zhuo and Yicheng Zou and Xipeng Qiu and Yu Qiao and Dahua Lin},
      year={2024},
      eprint={2403.17297},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}