MiniMax
MiniMax: MiniMax-01
minimax/minimax-01
MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context of up to 4 million tokens. The text model adopts a hybrid architecture that combines Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE). The image model adopts the “ViT-MLP-LLM” framework and is trained on top of the text model. To read more about the release, see: https://www.minimaxi.com/en/news/minimax-01-series-2
/ 1M tokens
/ 1M tokens
tokens
Limits
Context
1,000,192
tokens
Max output
900,172
90% of the context window
Parameters
456,089,655,296
Model facts
Author
MiniMax
Tokenizer
Other
Modality
Text + Image -> Text
Knowledge cutoff
2024-03-31
Created
Jan 15, 2025
Hugging Face
MiniMaxAI/MiniMax-Text-01