deepseek-ai/DeepSeek-V3.1-Terminus

🤗 Hugging Face 来源text-generationmit685B 参数689 GBsafetensors✓ 163 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo deepseek-ai/DeepSeek-V3.1-Terminus ./model-folder
需要做种者 →

DeepSeek-V3.1-Terminus


Introduction

This update maintains the model's original capabilities while addressing issues reported by users, including:

  • Language consistency: Reducing instances of mixed Chinese-English text and occasional abnormal characters;
  • Agent capabilities: Further optimizing the performance of the Code Agent and Search Agent.
Benchmark DeepSeek-V3.1 DeepSeek-V3.1-Terminus
Reasoning Mode w/o Tool Use
MMLU-Pro 84.8 85.0
GPQA-Diamond 80.1 80.7
Humanity's Last Exam 15.9 21.7
LiveCodeBench 74.8 74.9
Codeforces 2091 2046
Aider-Polyglot 76.3 76.1
Agentic Tool Use
BrowseComp 30.0 38.5
BrowseComp-zh 49.2 45.0
SimpleQA 93.4 96.8
SWE Verified 66.0 68.4
SWE-bench Multilingual 54.5 57.8
Terminal-bench 31.3 36.7

The template and tool-set of search agent have been updated, which is shown in assets/search_tool_trajectory.html.

How to Run Locally

The model structure of DeepSeek-V3.1-Terminus is the same as DeepSeek-V3. Please visit DeepSeek-V3 repo for more information about running this model locally.

For the model's chat template other than search agent, please refer to the DeepSeek-V3.1 repo.

Here we also provide an updated inference demo code in the inference folder to help the community get started with running our model and understand the details of model architecture.

NOTE: In the current model checkpoint, the parameters of self_attn.o_proj do not conform to the UE8M0 FP8 scale data format. This is a known issue and will be corrected in future model releases.

License

This repository and the model weights are licensed under the MIT License.

Citation

@misc{deepseekai2024deepseekv3technicalreport,
      title={DeepSeek-V3 Technical Report}, 
      author={DeepSeek-AI},
      year={2024},
      eprint={2412.19437},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2412.19437}, 
}

Contact

If you have any questions, please raise an issue or contact us at service@deepseek.com.