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README.md
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---
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license: mit
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library_name: transformers
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base_model:
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- deepseek-ai/DeepSeek-V3-0324
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- deepseek-ai/DeepSeek-R1
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pipeline_tag: text-generation
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---
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# DeepSeek-R1T-Chimera
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<div align="center">
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<img src="https://354918363417-runtime-assets.s3.eu-central-1.amazonaws.com/company_logo_light.svg"
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alt="TNG Logo"
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width="400"
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style="display: inline-block; vertical-align: middle;"/>
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</div>
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<br>
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<div align="center">
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<a href="LICENSE" style="margin: 2px;">
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<img alt="License" src="https://img.shields.io/badge/License-MIT-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/>
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</a>
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</div>
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<br>
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<div align="center">
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<a href="https://x.com/tngtech/status/1916284566127444468" style="margin: 2px;">
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<img alt="Benchmarks" src="R1T-Chimera_Benchmarks_20250427_V1.jpg" style="display: inline-block; vertical-align: middle;"/>
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</a>
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</div>
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**Model merge of DeepSeek-R1 and DeepSeek-V3 (0324)**
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An open weights model combining the intelligence of R1 with the token efficiency of V3.
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For details on the construction process and analyses of Chimera model variants, please [read our paper](https://arxiv.org/abs/2506.14794).
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[Paper on arXiV](https://arxiv.org/abs/2506.14794) | [Announcement on X](https://x.com/tngtech/status/1916284566127444468) | [LinkedIn post](https://www.linkedin.com/posts/tng-technology-consulting_on-the-weekend-we-released-deepseek-r1t-chimera-activity-7323008947236290560-Cf2m) | [Try it on OpenRouter](https://openrouter.ai/tngtech/deepseek-r1t-chimera:free)
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## Model Details
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- **Architecture**: DeepSeek-MoE Transformer-based language model
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- **Combination Method**: Merged model weights from DeepSeek-R1 and DeepSeek-V3 (0324)
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- **Release Date**: 2025-04-27
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## Use, Out-of-scope Use, Limitations, Risks, Recommendations et al
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Regarding R1T Chimera, we ask you to follow the careful guidelines that Microsoft has created for their "MAI-DS-R1" DeepSeek-based model.
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These guidelines are available [here on Hugging Face](https://huggingface.co/microsoft/MAI-DS-R1).
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## Contact
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- Email: research@tngtech.com
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- X.com: @tngtech
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## Citation
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```
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@misc{tng_technology_consulting_gmbh_2025,
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author = { TNG Technology Consulting GmbH },
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title = { DeepSeek-R1T-Chimera },
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year = 2025,
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month = {April},
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url = { https://huggingface.co/tngtech/DeepSeek-R1T-Chimera },
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doi = { 10.57967/hf/5330 },
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publisher = { Hugging Face }
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}
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```
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