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What is the DeepSeek-TNG-R1T2-Chimera model? What are the core differences between it and its predecessor models?

2025-08-23 1.8 K
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Model definition and core differences

DeepSeek-TNG-R1T2-Chimera is an open source large language model developed by TNG Technology Consulting GmbH, Germany, hosted on the Hugging Face platform under the MIT license. Its core features include:

  • Multi-model Fusion Architecture: Integration of the three parent models R1, V3-0324 and R1-0528 through the Assembly of Experts methodology
  • Efficiency Optimization: Reasoning speed up 20% over R1, more than twice as fast as R1-0528
  • Intelligent Enhancement: better performance in benchmarks such as GPQA and AIME-24/25

Compared to its predecessor, the DeepSeek-R1T-Chimera, the R1T2 is mainly improved:

  • fixes Marking consistency issuesEnhanced Output Reliability
  • Optimize token efficiency and generate fewer tokens for the same content
  • Introducing New Training Data and Methods to Enhance Multilingual Processing Capabilities

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