DeepSeek V3

Say Hello to DeepSeek V3

DeepSeek V3 is a big deal in open source AI. It comes from the smart folks at DeepSeek, a Chinese AI lab supported by High Flyer Capital Management. With 671 billion total parameters and 37 billion used for each token, DeepSeek V3 is one of the largest and most efficient AI models out there.

Standout Points

DeepSeek V3 builds on the success of DeepSeek V2. It uses advanced tech like Multi Head Latent Attention and the DeepSeekMoE setup. These features make the model run well and train without costing too much. It also uses a special strategy to avoid common performance issues.

The model learned from a huge dataset of 14.8 trillion high quality tokens. It uses a unique training method that helps with better GPU usage and makes training more affordable, needing only 2.664 million H800 GPU hours.

DeepSeek V3 also has a knowledge distillation pipeline. This enhances its reasoning skills by learning from the DeepSeek R1 series models. This makes sure the model''s outputs are consistent and versatile across different tasks.

Why It''s Great

DeepSeek V3 is very stable during training. It does not have major loss spikes or rollbacks, making it reliable and efficient even at a large scale.

The model does well in various tests:
- MMLU Pro (Knowledge Understanding): Scores 75.9%, close to GPT-4''s 78%.
- GPQA Diamond (Complex QA): Scores 59.1%, ahead of GPT-4''s 49.9%.
- MATH 500 (Math Reasoning): Scores 90.2%, much better than GPT-4.
- AIME 2024 (Advanced Math Reasoning): Scores 39.2%, leading by over 23% compared to GPT-4.
- Codeforces (Programming Problem Solving): Scores 51.6%, much better than GPT-4.
- SWE bench Verified (Software Engineering): Scores 42%, behind Claude Sonnet (50.8%) but ahead of most other models.

How You Can Use It

DeepSeek V3 is open source, so it is easy to use for many things. Developers can download, change, and add the model to different projects, even commercial ones. The model weights are on HuggingFace, and users can chat with the model for free on DeepSeek''s official chat platform.

Price

One of the best things about DeepSeek V3 is its cost efficiency. The model was trained for just 5.5 million dollars, which is much less than models like OpenAI''s GPT-4, which cost over 100 million dollars to train.

Support

DeepSeek, the company behind DeepSeek V3, is backed by High Flyer Capital Management.

To learn more and access the model, visit HuggingFace or DeepSeek''s official chat platform.