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

Qwen3 Next 80B A3B Instruct requires approximately 162.7 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 Instruct and how large is it?

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

How does Qwen3 Next 80B A3B Instruct perform on standard benchmarks?

Qwen3 Next 80B A3B Instruct has the following published scores: LMSYS ELO 1401. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen3 Next 80B A3B Instruct by unsloth — VRAM 162.7GB, 256K context

Name: Qwen3 Next 80B A3B Instruct
Author: unsloth

Qwen3 Next 80B A3B Instruct is an open-source language model by unsloth. Features: 80b LLM, VRAM: 162.7GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.36, ELO: 1401.

Arxiv:2309.00071 Arxiv:2404.06654 Arxiv:2501.15383 Arxiv:2505.09388 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-next-80b... Conversational Endpoints compatible Instruct Qwen3 next Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-Next-80B-A3B-Instruct

Qwen3 Next 80B A3B Instruct Benchmarks

LMSys ELO 1401 vs 1272 (so35) 10.1%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen3 Next 80B A3B Instruct Parameters and Internals

LLM Name	Qwen3 Next 80B A3B Instruct
Repository 🤗	https://huggingface.co/unsloth/Qwen3-Next-80B-A3B-Instruct
Base Model(s)	Qwen3 Next 80B A3B Instruct Qwen/Qwen3-Next-80B-A3B-Instruct
Model Size	80b
Required VRAM	162.7 GB
Updated	2026-08-05
Maintainer	unsloth
Model Type	qwen3_next
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-41 4.0 GB: 2-of-41 4.0 GB: 3-of-41 4.0 GB: 4-of-41 4.0 GB: 5-of-41 4.0 GB: 6-of-41 4.0 GB: 7-of-41 4.0 GB: 8-of-41 4.0 GB: 9-of-41 4.0 GB: 10-of-41 4.0 GB: 11-of-41 4.0 GB: 12-of-41 4.0 GB: 13-of-41 4.0 GB: 14-of-41 4.0 GB: 15-of-41 4.0 GB: 16-of-41 4.0 GB: 17-of-41 4.0 GB: 18-of-41 4.0 GB: 19-of-41 4.0 GB: 20-of-41 4.0 GB: 21-of-41 4.0 GB: 22-of-41 4.0 GB: 23-of-41 4.0 GB: 24-of-41 4.0 GB: 25-of-41 4.0 GB: 26-of-41 4.0 GB: 27-of-41 4.0 GB: 28-of-41 4.0 GB: 29-of-41 4.0 GB: 30-of-41 4.0 GB: 31-of-41 4.0 GB: 32-of-41 4.0 GB: 33-of-41 4.0 GB: 34-of-41 4.0 GB: 35-of-41 4.0 GB: 36-of-41 4.0 GB: 37-of-41 4.0 GB: 38-of-41 4.0 GB: 39-of-41 3.4 GB: 40-of-41 3.3 GB: 41-of-41
Model Architecture	Qwen3NextForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.3
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the Qwen3 Next 80B A3B Instruct capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Instruct

Best Alternatives	Context / RAM	Downloads	Likes
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 MoE	256K / 0 GB	127090	4
...n3 Next 80B A3B Instruct NVFP4	256K / 50.7 GB	13898	39
...t 80B A3B Instruct FP8 Dynamic	256K / 80.5 GB	506	4
...ext 80B A3B Instruct Mxfp4 Mlx	256K / 42 GB	243	8
... Instruct Int4 Mixed AutoRound	256K / 43.3 GB	97	24
...t 80B A3B Instruct Qx86 Hi Mlx	256K / 73.5 GB	127	2
...0B A3B Instruct Int4 AutoRound	256K / 42.5 GB	120	10
...en3 Next 80B A3B Instruct 8bit	256K / 83.9 GB	4443	8