[feat] add deepseek-r1 (#113)

* add deepseek-r1

* fix: fix the update time

README.md

@@ -71,6 +71,7 @@ Awesome-LLM-Inference: A curated list of [📙Awesome LLM Inference Papers with
 |2024.11|🔥🔥🔥[**Star-Attention: 11x~ speedup**] Star Attention: Efficient LLM Inference over Long Sequences(@NVIDIA)|[[pdf]](https://arxiv.org/pdf/2411.17116)|[[Star-Attention]](https://github.com/NVIDIA/Star-Attention) ![](https://img.shields.io/github/stars/NVIDIA/Star-Attention.svg?style=social)|⭐️⭐️ |  
 |2024.12|🔥🔥🔥[**DeepSeek-V3**] DeepSeek-V3 Technical Report(@deepseek-ai) | [[pdf]](https://github.com/deepseek-ai/DeepSeek-V3/blob/main/DeepSeek_V3.pdf) | [[DeepSeek-V3]](https://github.com/deepseek-ai/DeepSeek-V3) ![](https://img.shields.io/github/stars/deepseek-ai/DeepSeek-V3.svg?style=social) | ⭐️⭐️ | 
 |2025.01|🔥🔥🔥 [**MiniMax-Text-01**] MiniMax-01: Scaling Foundation Models with Lightning Attention | [[report]](https://filecdn.minimax.chat/_Arxiv_MiniMax_01_Report.pdf) | [[MiniMax-01]](https://github.com/MiniMax-AI/MiniMax-01) ![](https://img.shields.io/github/stars/MiniMax-AI/MiniMax-01.svg?style=social) | ⭐️⭐️ | 
+|2025.01|🔥🔥🔥[**DeepSeek-R1**] DeepSeek-R1 Technical Report(@deepseek-ai) | [[pdf]](https://arxiv.org/pdf/2501.12948v1) | [[DeepSeek-R1]](https://github.com/deepseek-ai/DeepSeek-R1) ![](https://img.shields.io/github/stars/deepseek-ai/DeepSeek-R1.svg?style=social) | ⭐️⭐️ | 
 
 ### 📖DP/MP/PP/TP/SP/CP Parallelism ([©️back👆🏻](#paperlist))  
 <div id="DP-MP-PP-TP-SP-CP"></div>