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title: README |
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short_description: TNG on huggingface |
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--- |
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# TNG Technology Consulting GmbH |
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We solve hard IT problems. |
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## Latest Research |
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Check out our latest research: |
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- **DeepSeek-TNG-R1T2-Chimera** |
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- [Announcement on X](https://x.com/tngtech/status/1940531045432283412) |
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- [Model Card](https://huggingface.co/tngtech/DeepSeek-TNG-R1T2-Chimera) |
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- **DeepSeek-R1T-Chimera** |
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- [arXiv: Assembly of Experts](https://arxiv.org/abs/2506.14794) |
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- [Announcement on X](https://x.com/tngtech/status/1916284566127444468) |
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- [Model Card](https://huggingface.co/tngtech/DeepSeek-R1T-Chimera) |
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- **Mixture of Tunable Experts** |
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- [arXiv: Mixture of Tunable Experts](https://arxiv.org/abs/2502.11096) |
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- [blog: Mixture of Tunable Experts](https://huggingface.co/blog/rbrt/mixture-of-tunable-experts) |
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## Blog |
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Read our latest blog posts: |
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- [Prefill and Decode for Concurrent Requests - Optimizing LLM Performance ](https://huggingface.co/blog/tngtech/llm-performance-prefill-decode-concurrent-requests) |
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- [Finetuning olmOCR to be a faithful OCR-Engine](https://huggingface.co/blog/tngtech/finetuning-olmocr-to-be-a-faithful-ocr-engine) |
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- [Efficient Request Queueing – Optimizing LLM Performance](https://huggingface.co/blog/tngtech/llm-performance-request-queueing) |
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## Follow us |
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[TNG on github](https://github.com/TNG) |
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, [on X](https://x.com/tngtech) |
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, [on LinkedIn](https://www.linkedin.com/company/96020) |
