From the model card
Fields below are copied from the tags and counters on the HuggingFace repository Qwen/Qwen3-Next-80B-A3B-Instruct at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.
- Publisher (HF namespace)
- Qwen
- Pipeline tag
- text-generation
- Library
- Transformers
- Weight formats
- safetensors
- License tag
apache-2.0— read the license file in the repo before relying on it- Papers cited
- arXiv:2309.00071, arXiv:2404.06654, arXiv:2505.09388, arXiv:2501.15383
- Downloads (HF counter at last fetch)
- 375,814
- Likes (HF counter at last fetch)
- 1,024
- Model card
- https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct
Use cases
- Complex multi-step reasoning tasks where smaller models fall short
- Long-context document analysis and summarization
- Code generation requiring deep reasoning chains
- Agentic tool-use pipelines needing broad world knowledge
Pros
- MoE architecture reduces active compute vs dense 80B equivalent
- Instruct fine-tuned for direct chat and tool-use
- Qwen3 lineage has strong multilingual coverage including Chinese
- Supports thinking mode for extended chain-of-thought
Cons
- Full 80B parameter storage still requires substantial disk space
- Activation sparsity patterns may cause latency variance per token
- Less tested than the 30B-A3B variant at time of writing
- Inference requires MoE-aware serving (vLLM or SGLang recommended)
Tags
transformerssafetensorsqwen3_nexttext-generationconversationalarxiv:2309.00071arxiv:2404.06654arxiv:2505.09388arxiv:2501.15383license:apache-2.0eval-resultsendpoints_compatibledeploy:azureregion:us