🔥🔥🔥[DeepSeek-V3] DeepSeek-V3 Technical Report(@deepseek-ai) (#109)

README.md

@@ -69,6 +69,7 @@ Awesome-LLM-Inference: A curated list of [📙Awesome LLM Inference Papers with
 |2024.07|🔥🔥[**FlashAttention-3**] FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision(@TriDao etc) |[[pdf]](https://tridao.me/publications/flash3/flash3.pdf)|[[flash-attention]](https://github.com/Dao-AILab/flash-attention) ![](https://img.shields.io/github/stars/Dao-AILab/flash-attention.svg?style=social)|⭐️⭐️ |  
 |2024.07|🔥🔥[**MInference 1.0**] MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention(@Microsoft) |[[pdf]](https://arxiv.org/pdf/2407.02490)|[[MInference 1.0]](https://github.com/microsoft/MInference) ![](https://img.shields.io/github/stars/microsoft/MInference.svg?style=social)|⭐️⭐️ |  
 |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) | ⭐️⭐️ | 
 
 ### 📖DP/MP/PP/TP/SP/CP Parallelism ([©️back👆🏻](#paperlist))  
 <div id="DP-MP-PP-TP-SP-CP"></div>