Hunyuan-T1 : The DeepSeek-R1 killer is here
Reasoning LLM by Tencent beats DeepSeek-R1
The reason is that the LLM race is getting crazier day by day, and now, within just two months, we have a new LLM, which is at par with DeepSeek-R1 i.e. Hunyuan-T1.
Data Science in Your Pocket – No Rocket Science
Key Features of Hunyuan T1
https://medium.com/media/1e7aac69a734daa93fa491f9bd0c631a/href
1. Superior Reasoning Capabilities
- Built on TurboS fast-thinking base, featuring an ultra-large-scale Hybrid-Transformer-Mamba MoE architecture.
- Excels in in-depth logical and mathematical reasoning, positioning it as a leading model in problem-solving.
https://medium.com/media/f0e4e885142b7d094cc46680ec808252/href
2. Optimized for Long-Text Processing
- TurboS’s long-text capture prevents context loss and enhances the handling of long-distance dependencies.
- Mamba architecture improves long-sequence processing efficiency while reducing computational costs.
- Twice the decoding speed compared to previous models under the same deployment conditions.
3. Reinforcement Learning Optimization
- 96.7% of computing resources are dedicated to reinforcement learning in post-training.
- Focused on improving pure reasoning ability and ensuring alignment with human preferences.
4. Comprehensive Training Methodology
- Implemented curriculum learning, gradually increasing data complexity and context length.
- Leveraged diverse datasets covering mathematics, logic reasoning, science, and coding.
- Incorporated real feedback loops to enhance problem-solving accuracy.
5. Advanced Reinforcement Learning Strategies
- Applied data replay and periodic policy resetting, boosting training stability by over 50%.
- Developed a self-rewarding feedback system, enabling self-improvement in alignment tasks.
- Produces responses with richer content details and more efficient information delivery.
Benchmarks and metrics
summarizing the results for you from the above charts
Knowledge: Hunyuan T1 wins in MMLU, but DeepSeek R1 is better in QA tasks.
Reasoning: Hunyuan T1 is superior, especially in numerical reasoning.
Math: DeepSeek R1 slightly wins, but Hunyuan T1 is close.
Code: DeepSeek R1 is slightly better.
Chinese: Tied — both models are equally strong.
Alignment: DeepSeek R1 is slightly better.
Instruction Following: DeepSeek R1 is slightly better.
Tool Utilization: Hunyuan T1 is much better than DeepSeek R1.
How to use Hunyuan T1?
The model isn’t open-sourced yet, but it is available to chat for free on a couple of platforms.
I hope you try out the models!
Hunyuan-T1 : The DeepSeek-R1 killer is here was originally published in Data Science in your pocket on Medium, where people are continuing the conversation by highlighting and responding to this story.
