Tencent has unveiled its latest open-source large language model, Hunyuan-Large, which is reportedly the largest MoE (Model-Efficient) model currently available in the industry. With a staggering 389 billion total parameters and 52 billion active parameters, Hunyuan-Large has been trained on a massive 7 trillion tokens and can process input sequences of up to 256 kilobytes in length.
The model is now available on GitHub and Hugging Face, and can be easily integrated into various applications and services. This breakthrough is a significant leap forward in the field of natural language processing and is expected to have a profound impact on the development of AI-powered technologies.
For those interested in learning more, the paper detailing the Hunyuan-Large model can be found on ArXiv, and the model itself can be accessed through the links provided below.
Links: [ArXiv](https://arxiv.org/pdf/2411.02265), [GitHub](https://github.com/Tencent/Tencent-Hunyuan-Large), [Hugging Face](https://huggingface.co/tencent/Tencent-Hunyuan-Large), [Tencent Cloud](https://cloud.tencent.com/product/hunyuan)
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