Qwen3-Next-80B-A3B is the first installment in the Qwen3-Next series and features the following key enchancements: Hybrid Attention, High-Sparsity Mixture-of-Experts (MoE), Stability Optimizations and Multi-Token Prediction (MTP)
Qwen3-Next-80B-A3B-Instruct Overview
Description:
This container houses the Qwen3-Next-80B-A3B-Instruct, which is a causal language model that generates text content based on given instructions. This model is part of the Qwen3-Next series, which is designed to improve scaling efficiency through features like Hybrid Attention and a High-Sparsity Mixture-of-Experts (MoE), enabling it to demonstrate significant advantages in handling ultra-long-context tasks up to 262,144 tokens.
The container components are ready for commercial/non-commercial use.
Third-Party Community Consideration
This model 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 Qwen/Qwen3-Next-80B-A3B-Instruct.
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 Community Model License Agreement.
ADDITIONAL INFORMATION: Apache License Version 2.0.
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Deployment Geography:
Global
Release Date:
Build.Nvidia.com 09/18/2025 via
https://build.nvidia.com/qwen/qwen3-next-80b-a3b-instruct
Huggingface 09/11/2025 via
https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct
Qwen3-Next-80B-A3B-Instruct
Qwen3-Next-80B-A3B-Instruct Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Qwen3-Next-80B-A3B-Instruct | Instruction-following causal language model for text generation, chat, agentic tasks, long-context processing, coding, reasoning, and multilingual applications. | Automatic |
Deployment Details:
Visit the NIM Container LLM page for release documentation, deployment guides, and more.
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
Container Version(s):
Qwen3-Next-80B-A3B-Instruct-1.14.0-Varient
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 this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
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