What is deepseekv3.org?
DeepSeek v3 represents the latest advancement in large language models, featuring a groundbreaking Mixture-of-Experts architecture with 671B total parameters. This innovative model demonstrates exceptional performance across various benchmarks, including mathematics, coding, and multilingual tasks.
Trained on 14.8 trillion diverse tokens and incorporating advanced techniques like Multi-Token Prediction, DeepSeek v3 sets new standards in AI language modeling. The model supports a 128K context window and delivers performance comparable to leading closed-source models while maintaining efficient inference capabilities.
Features
- Advanced MoE Architecture: Utilizes an innovative Mixture-of-Experts architecture with 671B total parameters, activating 37B parameters for each token for optimal performance.
- Extensive Training: Pre-trained on 14.8 trillion high-quality tokens, demonstrating comprehensive knowledge across various domains.
- Superior Performance: Achieves state-of-the-art results across multiple benchmarks, including mathematics, coding, and multilingual tasks.
- Efficient Inference: Maintains efficient inference capabilities through innovative architecture design, despite its large size.
- Long Context Window: Features a 128K context window to process and understand extensive input sequences effectively.
- Multi-Token Prediction: Incorporates advanced Multi-Token Prediction for enhanced performance and inference acceleration.
Use Cases
- Text generation
- Code completion
- Mathematical reasoning
- Multilingual tasks
FAQs
-
What makes DeepSeek v3 unique?
DeepSeek v3 combines a massive 671B parameter MoE architecture with innovative features like Multi-Token Prediction and auxiliary-loss-free load balancing, delivering exceptional performance across various tasks. -
How can I access DeepSeek v3?
DeepSeek v3 is available through our online demo platform and API services. You can also download the model weights for local deployment. -
What frameworks are supported for DeepSeek v3 deployment?
DeepSeek v3 can be deployed using multiple frameworks including SGLang, LMDeploy, TensorRT-LLM, vLLM, and supports both FP8 and BF16 inference modes. -
Is DeepSeek v3 available for commercial use?
Yes, DeepSeek v3 supports commercial use subject to the model license terms. -
How was DeepSeek v3 trained?
DeepSeek v3 was pre-trained on 14.8 trillion diverse and high-quality tokens, followed by Supervised Fine-Tuning and Reinforcement Learning stages. The training process was remarkably stable with no irrecoverable loss spikes.
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