What are the hardware requirements for Qwen3 Next 80B A3B Thinking NVFP4?

Qwen3 Next 80B A3B Thinking NVFP4 requires approximately 50.7 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 Next 80B A3B Thinking NVFP4 and how large is it?

Qwen3 Next 80B A3B Thinking NVFP4 is developed by nvidia, a model with 80b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3 Next 80B A3B Thinking NVFP4?

Qwen3 Next 80B A3B Thinking NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Next 80B A3B Thinking NVFP4 by nvidia — VRAM 50.7GB, 256K context

Name: Qwen3 Next 80B A3B Thinking NVFP4
Author: nvidia

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, LLM Explorer Score: 0.25.

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 Parameters and Internals

LLM Name	Qwen3 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 Size	80b
Required VRAM	50.7 GB
Updated	2026-07-21
Maintainer	nvidia
Model Type	qwen3_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 Architecture	Qwen3NextForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Errors	replace

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

Best Alternatives to Qwen3 Next 80B A3B Thinking NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Next 80B A3B Instruct	256K / 162.7 GB	422	89
Qwen3 Next 80B A3B Thinking	256K / 162.7 GB	100	7
Qwen3 Next 80B A3B Instruct	256K / 162.7 GB	286679	1042
...wen3 Next 80B A3B Instruct FP8	256K / 81.8 GB	329583	89
Qwen3 Next 80B A3B Thinking	256K / 162.7 GB	35946	492
Qwen3 Next MoE	256K / 0 GB	127090	4
...n3 Next 80B A3B Instruct NVFP4	256K / 50.7 GB	13898	39
...wen3 Next 80B A3B Thinking FP8	256K / 81.8 GB	20135	54
...t 80B A3B Instruct FP8 Dynamic	256K / 80.5 GB	506	4
...ext 80B A3B Instruct Mxfp4 Mlx	256K / 42 GB	243	8

Note: green Score (e.g. "73.2") means that the model is better than nvidia/Qwen3-Next-80B-A3B-Thinking-NVFP4.