MiniMax-01

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MiniMax-01 is an AI Agents & Automation tool that provides powerful large language and vision-language models. It features MiniMax-Text-01 with 456 billion parameters and MiniMax-VL-01 for enhanced visual capabilities, both based on Linear Attention.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is MiniMax-01?

MiniMax-01 is the official repository for two advanced AI models: MiniMax-Text-01 and MiniMax-VL-01. MiniMax-Text-01 is a robust language model with 456 billion total parameters, utilizing a hybrid architecture that integrates Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE) for long-context capabilities. It supports training context lengths up to 1 million tokens and inference up to 4 million tokens. MiniMax-VL-01 builds on this with enhanced visual capabilities, employing a "ViT-MLP-LLM" framework and a dynamic resolution mechanism for image processing. Both models demonstrate top-tier performance on various academic and multimodal benchmarks, making them suitable for complex AI tasks.

Best used for

Ideal for developers and data scientists who need to implement advanced large language models, integrate vision capabilities into AI applications, and process extremely long text contexts. Especially valuable for researchers and engineers working on cutting-edge AI development and deployment.

Common actions

develop large language models

implement vision-language models

process long context text

handle multimodal data

"AI Agents"github copilotface swappingautomated workflowdeepfakelow-code/no-codeworkflowsopen-sourcecollaboration

Capabilities

Key features

456B parameter language model
Vision-language model
Hybrid attention architecture
Mixture-of-Experts (MoE)
1M token training context
4M token inference context
Dynamic image resolution

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the key differences between MiniMax-Text-01 and MiniMax-VL-01?

MiniMax-Text-01 is a powerful language model designed for text-based tasks, featuring 456 billion parameters and long-context capabilities. MiniMax-VL-01 builds upon MiniMax-Text-01 by adding enhanced visual capabilities, making it a vision-language model suitable for multimodal tasks like image description and visual Q&A.

What is the maximum context length MiniMax-Text-01 can handle?

MiniMax-Text-01 is engineered to handle an impressive context length. It supports training with up to 1 million tokens and can manage up to 4 million tokens during inference, enabling it to process and understand very long documents and conversations.

Does MiniMax-VL-01 support dynamic image resolutions?

Yes, MiniMax-VL-01 features a dynamic resolution mechanism. Input images are resized according to a pre-set grid, with resolutions ranging from 336×336 to 2016×2016, while maintaining a 336×336 thumbnail. This allows for flexible and detailed visual processing.

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