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README.md

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----
-license: mit
----
+---
+license: mit
+library_name: transformers
+base_model:
+- deepseek-ai/DeepSeek-V3-0324
+- deepseek-ai/DeepSeek-R1
+- deepseek-ai/DeepSeek-R1-0528
+pipeline_tag: text-generation
+---
+# DeepSeek-TNG-R1T2-Chimera
+
+<div align="center">
+<img src="https://354918363417-runtime-assets.s3.eu-central-1.amazonaws.com/company_logo_light.svg"
+     alt="TNG Logo" 
+     width="400"
+     style="display: inline-block; vertical-align: middle;"/>
+</div>
+<br>
+<div align="center">
+  <a href="LICENSE" style="margin: 2px;">
+    <img alt="License" src="https://img.shields.io/badge/License-MIT-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+</div>
+<br>
+<div align="center">
+  <a href="https://x.com/tngtech/status/1916284566127444468" style="margin: 2px;">
+    <img alt="Benchmarks" src="R1T-Chimera_Benchmarks_20250427_V1.jpg" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+</div>
+
+**Model Merge of DeepSeek-R1-0528, DeepSeek-R1 and DeepSeek-V3-0324**
+
+An open weights model combining the intelligence of R1-0528 and R1 with the token efficiency of V3.
+
+For details on the construction process, which is an extension of that for the original Chimera model, please [read our paper](https://arxiv.org/abs/2506.14794). 
+
+[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))
+
+
+## Model Details
+
+- **Architecture**: DeepSeek-MoE transformer-based language model
+- **Combination Method**: Merged model weights from DeepSeek-R1-0528, DeepSeek-R1 and DeepSeek-V3-0324
+- **Release Date**: 2025-07-0x
+
+## Use, Out-of-scope Use, Limitations, Risks, Recommendations et al.
+Regarding R1T2-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](https://huggingface.co/microsoft/MAI-DS-R1).
+
+## Contact
+
+- Email: research@tngtech.com
+- X.com: @tngtech
+
+## Citation
+
+```
+@misc{tng_technology_consulting_gmbh_2025_07_0x,
+	author       = { TNG Technology Consulting GmbH },
+	title        = { DeepSeek-TNG-R1T2-Chimera },
+	year         = 2025,
+    month        = { April },
+	url          = { https://huggingface.co/tngtech/DeepSeek-TNG-R1T2-Chimera },
+	doi          = { xxx },
+	publisher    = { Hugging Face }
+}
+```