MiniMax-01 and MiniMax-M1

These are ecosystem siblings, representing two different large-scale AI models developed by MiniMax-AI: MiniMax-01, focusing on text and vision with linear attention, and MiniMax-M1, a hybrid-attention reasoning model.

MiniMax-01
48
Emerging
MiniMax-M1
46
Emerging
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 2/25
Adoption 10/25
Maturity 15/25
Community 19/25
Stars: 3,363
Forks: 319
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 3,115
Forks: 276
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About MiniMax-01

MiniMax-AI/MiniMax-01

The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention

This project offers two advanced AI models: MiniMax-Text-01 for text generation and understanding, and MiniMax-VL-01 for tasks involving both text and images. MiniMax-Text-01 takes text prompts and produces coherent, long-form text, while MiniMax-VL-01 can process images alongside text to generate responses or descriptions. These models are designed for AI developers and researchers building sophisticated natural language processing and multimodal applications.

AI development natural language processing multimodal AI large language models vision-language models

About MiniMax-M1

MiniMax-AI/MiniMax-M1

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

MiniMax-M1 is designed for advanced problem-solving, like tackling competition-level math, complex coding challenges, or understanding lengthy documents. It takes in long text inputs, such as technical specifications or detailed prompts, and produces highly reasoned and accurate responses. This model is ideal for engineers, researchers, or anyone needing sophisticated AI assistance with complex, detailed tasks.

software-engineering mathematical-reasoning long-document-analysis AI-agent-development complex-problem-solving

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