deepseek-ai/deepseek-v3 is a repository containing the official public code for DeepSeek-V3. What it publishes is the language model architecture and weights, and the implementation for running inference locally. The latest release tag is v1.0.0, and the changes included in that tag are not confirmed in the release notes.
It is an MoE (Mixture of Experts, a method that computes by picking only some of several expert modules) language model with 671B parameters in total, of which only 37B are activated per token. The README explains MLA (Multi-head Latent Attention, a method that compresses attention into latent dimensions), the DeepSeekMoE architecture, pre-training and post-training on a scale of 14.8T tokens, and the approach of distilling DeepSeek-R1's reasoning ability. It also covers model download and evaluation procedures, the official chat site and OpenAI-Compatible API, and how to run locally with several open-source frameworks. The license is MIT, the implementation language is Python, the star count is 104530, and the repository was created on 2024-12-26.
That said, of the evaluation items only the momentum score, 4.4 out of 10, has been filled in, and no scores are given for freshness, technology, or quality. Performance figures and verification results are also absent from the given record, so it is hard to judge actual inference quality from this repository alone. At the 671B scale, only the architecture and the way to run it can be confirmed; judging inference quality requires separate verification.