数据集 / tngtech/DeepSeek-R1T-Chimera

tngtech/DeepSeek-R1T-Chimera 已完整同步

DeepSeek-R1T-Chimera



Model merge of DeepSeek-R1 and DeepSeek-V3 (0324)

An open weights model combining the intelligence of R1 with the token efficiency of V3.

For details on the construction process and analyses of Chimera model variants, please read our paper.

Paper on arXiV | Announcement on X | LinkedIn post | Try it on OpenRouter

Update: we released R1T2-Chimera that is both faster and smarter than R1.

Model Details

  • Architecture: DeepSeek-MoE Transformer-based language model
  • Combination Method: Merged model weights from DeepSeek-R1 and DeepSeek-V3 (0324)
  • Release Date: 2025-04-27

Use, Out-of-scope Use, Limitations, Risks, Recommendations et al

Regarding R1T Chimera, we ask you to follow the careful guidelines that Microsoft has created for their "MAI-DS-R1" DeepSeek-based model.

These guidelines are available here on Hugging Face.

Contact

Citation

@misc{tng_technology_consulting_gmbh_2025,
	author       = { TNG Technology Consulting GmbH },
	title        = { DeepSeek-R1T-Chimera },
	year         = 2025,
    month        = {April},
	url          = { https://huggingface.co/tngtech/DeepSeek-R1T-Chimera },
	doi          = { 10.57967/hf/5330 },
	publisher    = { Hugging Face }
}

173 个文件

浏览文件

数据集版权信息

本数据集的许可证为 MIT License。如有违反相关条款，请联系 WEHUB，我们将及时处理。 查看许可证