✨T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground
📝 Summary:
T-pro 2.0 is an open-weight Russian LLM for hybrid reasoning and efficient inference. It uses a Cyrillic-dense tokenizer and EAGLE speculative decoding for low latency. The project releases model weights and benchmarks to foster reproducible research.
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10430
• PDF: https://arxiv.org/pdf/2512.10430
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #AI #NaturalLanguageProcessing #HybridReasoning #EfficientInference
📝 Summary:
T-pro 2.0 is an open-weight Russian LLM for hybrid reasoning and efficient inference. It uses a Cyrillic-dense tokenizer and EAGLE speculative decoding for low latency. The project releases model weights and benchmarks to foster reproducible research.
🔹 Publication Date: Published on Dec 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10430
• PDF: https://arxiv.org/pdf/2512.10430
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #AI #NaturalLanguageProcessing #HybridReasoning #EfficientInference