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Qwen3 Next 80B A3B Thinking NVFP4 by nvidia

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Qwen3 Next 80B A3B Thinking NVFP4 is an open-source language model by nvidia. Features: 80b LLM, VRAM: 50.7GB, Context: 256K, License: apache-2.0.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-next-80b...   Conversational   Model optimizer   Modelopt   Nvfp4   Nvidia   Quantized   Qwen3   Qwen3 next   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Qwen3-Next-80B-A3B-Thinking-NVFP4 
Qwen3 Next 80B A3B Thinking NVFP4 (nvidia/Qwen3-Next-80B-A3B-Thinking-NVFP4)
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Qwen3 Next 80B A3B Thinking NVFP4 Parameters and Internals

LLM NameQwen3 Next 80B A3B Thinking NVFP4
Repository 🤗https://huggingface.co/nvidia/Qwen3-Next-80B-A3B-Thinking-NVFP4 
Base Model(s)  Qwen3 Next 80B A3B Thinking   Qwen/Qwen3-Next-80B-A3B-Thinking
Model Size80b
Required VRAM50.7 GB
Updated2026-03-27
Maintainernvidia
Model Typeqwen3_next
Model Files  5.0 GB: 1-of-11   5.0 GB: 2-of-11   5.0 GB: 3-of-11   5.0 GB: 4-of-11   5.0 GB: 5-of-11   5.0 GB: 6-of-11   5.0 GB: 7-of-11   5.0 GB: 8-of-11   5.0 GB: 9-of-11   5.0 GB: 10-of-11   0.7 GB: 11-of-11
Model ArchitectureQwen3NextForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Errorsreplace

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... Thinking Int4 Mixed AutoRound256K / 43.1 GB6132
...0B A3B Thinking Int4 AutoRound256K / 42.3 GB1424
Note: green Score (e.g. "73.2") means that the model is better than nvidia/Qwen3-Next-80B-A3B-Thinking-NVFP4.

Rank the Qwen3 Next 80B A3B Thinking NVFP4 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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