# Small Model Efficiency

MiMo-7B is a language model series launched by Xiaomi, specifically designed for reasoning tasks, including base models, SFT models, and RL models, excelling in mathematical and code reasoning tasks.

A 7B-parameter specialized inference language model series launched by Xiaomi, significantly enhancing mathematical and code reasoning capabilities through optimized pre-training and post-training strategies

The first multimodal reasoning model to reproduce 'Aha moments' and increased response length on just a 2B model with unsupervised fine-tuning

This model is an image classification model fine-tuned on the huggan/wikiart dataset based on facebook/convnext-tiny-224, primarily used for artwork classification tasks.

A Q&A model fine-tuned on the SQuAD v2.0 dataset based on Electra-small-discriminator, suitable for distinguishing answerable from unanswerable questions