MSA (MiniMax Sparse Attention) factors attention into two stages: an Index Branch and a Main Branch. The Index Branch decides which key-value blocks each query should read. The Main Branch then runs ...

These implementations are for demonstration purposes. They are less efficient than the implementations in the Python standard library.

While recent breakthroughs in AI reasoning have largely been driven by massive scale, pouring in billions of parameters to cross complex cognitive thresholds—VibeThinker-3B is charting a completely ...

In what follows we explain how you can download and use our pretrained XLM (English-only) BERT model. Then we explain how you can train your own monolingual model, and how you can fine-tune it on the ...