MiniMax-M2.7 NIM Container
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12.41 GB
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LINUX/AMD64
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Minimax-m2.7 Moe Text-generation Agent Coding Tool-use Sglang Fp8 Nim Nvidia

MiniMax-M2.7 NIM Container
容器镜像
公开资源

更新2026-04-13

Sparse MoE text generation model for complex agentic tasks: coding, tool use, search, office productivity.

MiniMax-M2.7 NIM Container Overview

Description The MiniMax-M2.7 NIM Container is a deployable inference container for serving MiniMax-M2.7, a third-party sparse Mixture-of-Experts text generation model optimized for complex agentic tasks including software engineering, tool use, search, and office productivity workflows. Building on MiniMax-M2.5, M2.7 adds reinforcement-learning-driven improvements, stronger long-horizon instruction following, and a self-evolution capability where the model participates in its own improvement. The container provides an OpenAI-compatible API for self-hosted deployment, powered by the SGLang backend with FP8 quantization across supported NVIDIA GPU platforms.

The container components are ready for commercial use.

Third-Party Community Consideration

The model embedded in the container is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA MiniMax-M2.7 Model Card.

License/Terms of Use:

GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products; and the use of the model is governed by the NVIDIA Open Model License Agreement. ADDITIONAL INFORMATION: Modified MIT License

Deployment Geography:

Global

Release Date:

NGC 04/13/2026 via MiniMax-M2.7 NIM Container on NGC

Program Classes:

The MiniMax-M2.7 NIM Container includes the following model:

Model Name & Link Use Case How to Pull the Model MiniMax-M2.7 Text generation and agentic workflows (coding, tool use, search, office productivity) Automatic (embedded in container) Deployment Details The MiniMax-M2.7 NIM Container exposes an OpenAI-compatible chat completions API for seamless integration into existing applications and workflows.

API Endpoints:

/v1/chat/completions — Chat completions (streaming and non-streaming) /v1/models — List available models /health/ready — Health check Operating System: Linux

Reference(s): MiniMax-M2.7 NVIDIA Model Card MiniMax M2.7 Model Page MiniMax M2.7 Launch Report Container Version(s): 1.10.0-variant Security Common Vulnerabilities and Exposures (CVEs) Please review the Security Scanning tab on NGC to view the latest security scan results. For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.

Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help NVIDIA Developer Community Forum Get access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)