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MiniMax M2 — Advanced Large Language Model for Coding
Discover MiniMax M2, an open-source large language model optimized for exceptional coding performance and AI agent workflows. Access MiniMax M2 via HuggingFace, Ollama, GitHub, or the official API.
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MiniMax M2 Demo Video
Watch this comprehensive review of the MiniMax M2 large language model and its exceptional coding performance
MiniMax M2 Resources & Access
Online Platform
Try MiniMax M2 AI directly in your browser through the official agent platform
GitHub Repository
Access the MiniMax M2 source code, model weights, and documentation
HuggingFace
Download MiniMax M2 model weights and explore community discussions
Ollama
Install and run MiniMax M2 locally with Ollama for easy deployment
View MiniMax M2 API Documentation
MiniMax M2 Key Features
Exceptional Coding Performance
MiniMax M2 demonstrates outstanding coding performance on benchmarks like Terminal-Bench and SWE-Bench. The MiniMax M2 model effectively handles multi-file editing, code execution, and test validation workflows that developers rely on daily.
Powerful AI Agent Capabilities
The MiniMax M2 large language model excels at planning and executing complex tool-calling tasks. MiniMax M2 manages Shell operations, browser automation, retrieval systems, and code interpreters with remarkable reliability.
Efficient MoE Architecture
MiniMax M2 features a sophisticated Mixture of Experts (MoE) architecture with 230 billion total parameters and 10 billion active parameters. This design ensures optimal balance between intelligence, speed, and cost efficiency for the MiniMax M2 model.
MiniMax M2 on X (Twitter)
Experience MiniMax M2 AI Coding Performance
Try MiniMax M2 online through the official agent platform or integrate it locally via Ollama. The MiniMax M2 model delivers exceptional results for developers building complex applications and AI agents.
Try MiniMax M2 Online
Open Source & Accessible Everywhere
Access MiniMax M2 from HuggingFace, GitHub, or Ollama. The MiniMax M2 large language model is fully open source, allowing developers to deploy, customize, and extend its capabilities for their specific needs.
View on GitHub
How to Use MiniMax M2
MiniMax M2 is a cutting-edge large language model designed specifically for coding tasks and intelligent agent workflows. The MiniMax M2 model combines exceptional coding performance with efficient architecture. Here's how to get started with MiniMax M2.
Step 1
Choose Your Access Method You can access MiniMax M2 through multiple channels: try it online at agent.minimax.io, download from HuggingFace, use via Ollama, or integrate via MiniMax M2 API. The MiniMax M2 model is available across all these platforms.
Step 2
Set Up Your Environment For local deployment, clone the MiniMax M2 repository from GitHub. The MiniMax M2 model supports various deployment options including Ollama integration for easy local setup.
Step 3
Start Coding with MiniMax M2 MiniMax M2 excels at complex coding tasks including multi-file editing, code-run-fix cycles, and test validation. Experience the superior coding performance that MiniMax M2 delivers.
Step 4
Deploy AI Agents Leverage MiniMax M2's powerful agent capabilities for complex tool-calling workflows. The MiniMax M2 large language model handles Shell commands, browser automation, retrieval, and code interpretation seamlessly.
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FAQ
MiniMax M2 is an advanced open-source large language model specifically optimized for coding performance and AI agent workflows. The MiniMax M2 model features a MoE architecture with 230B total parameters and demonstrates exceptional capabilities in software development tasks.
MiniMax M2 shows superior coding performance on benchmarks like Terminal-Bench and SWE-Bench. The MiniMax M2 model excels at multi-file editing, code-run-fix cycles, and test validation, proving its effectiveness in real-world development environments.
MiniMax M2 is available on HuggingFace under MiniMaxAI/MiniMax-M2. You can download the model weights, read documentation, and explore community discussions about the MiniMax M2 model directly on the HuggingFace platform.
Yes, MiniMax M2 is fully compatible with Ollama. You can install and run MiniMax M2 locally using Ollama, making it easy to integrate the MiniMax M2 model into your development workflow without complex setup procedures.
The MiniMax M2 API is available through the MiniMax platform. Visit platform.minimax.io/docs/guides/text-generation for detailed API documentation. The MiniMax M2 API allows seamless integration of the model's capabilities into your applications.
Yes, the MiniMax M2 paper provides comprehensive details about the model's architecture, training methodology, and evaluation results. The paper covers the technical innovations behind MiniMax M2's superior coding performance and agent capabilities.
MiniMax M2 is specifically designed for coding and agent workflows, featuring optimized architecture for these tasks. The MiniMax M2 large language model combines efficient MoE design with exceptional coding performance, making it ideal for developers and AI agent builders.
Absolutely. MiniMax M2 is open source and available on GitHub. You can clone the repository, download model weights from HuggingFace, or use Ollama for simplified local deployment of the MiniMax M2 model.
Get Started with MiniMax M2 Today
Experience the power of MiniMax M2 for superior coding performance and AI agent development. Whether you use HuggingFace, Ollama, GitHub, or the official API, MiniMax M2 delivers exceptional results for developers worldwide.
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