MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second (mimo.xiaomi.com)

Article summary

Xiaomi has released the MiMo-V2.5-Pro-UltraSpeed model, which achieves a generation speed of 1000 tokens per second on a 1-trillion-parameter model. This is made possible through a combination of model-system codesign, FP4 quantization, and DFlash speculative decoding. The model is available through a limited-time application-based trial. The achievement has implications for real-time decision-making and productivity.

Main themes

• AI model performance
• Censorship and bias
• Model-system codesign
• Real-time decision-making
• Language model evaluation

What commenters say

• Some commenters argue that Chinese models are censored and may not provide accurate information on certain topics, such as the Tiananmen Square protests.
• Others counter that US models also have censorship and biases, and that it is not unique to Chinese models.
• There is a debate about the importance of testing language models for censorship and bias, with some arguing it is a crucial aspect of evaluating their usefulness.
• Some commenters believe that the ability of a model to provide accurate information on sensitive topics is a key factor in determining its overall quality and trustworthiness.
• Others argue that the focus on censorship and bias is a distraction from the main achievement of the MiMo-V2.5-Pro-UltraSpeed model, which is its high generation speed.
• There is a concern that government regulation of AI models could lead to further censorship and bias, and that this could have negative consequences for the development of AI.
• Some commenters suggest that testing language models on specific topics, such as the US Civil War or the January 6th US Capitol attack, can reveal biases and censorship.
• Others argue that these tests are not necessarily fair or representative, and that language models should be evaluated on a broader range of topics and criteria.