What are the hardware requirements for Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic?

Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic requires approximately 80.5 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 Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic and how large is it?

Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic is developed by DevQuasar, 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 Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic?

Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic by DevQuasar — VRAM 80.5GB, 256K context

Name: Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic
Author: DevQuasar

Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic is an open-source language model by DevQuasar. Features: 80b LLM, VRAM: 80.5GB, Context: 256K, Instruction-Based, LLM Explorer Score: 0.21.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-next-80b... Compressed-tensors Conversational Instruct Qwen3 next Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DevQuasar/Qwen.Qwen3-Next-80B-A3B-Instruct-FP8-Dynamic

Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic Parameters and Internals

LLM Name	Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic
Repository 🤗	https://huggingface.co/DevQuasar/Qwen.Qwen3-Next-80B-A3B-Instruct-FP8-Dynamic
Base Model(s)	Qwen3 Next 80B A3B Instruct Qwen/Qwen3-Next-80B-A3B-Instruct
Model Size	80b
Required VRAM	80.5 GB
Updated	2026-08-21
Maintainer	DevQuasar
Model Type	qwen3_next
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-17 5.0 GB: 2-of-17 5.0 GB: 3-of-17 5.0 GB: 4-of-17 5.0 GB: 5-of-17 5.0 GB: 6-of-17 5.0 GB: 7-of-17 5.0 GB: 8-of-17 5.0 GB: 9-of-17 5.0 GB: 10-of-17 5.0 GB: 11-of-17 5.0 GB: 12-of-17 5.0 GB: 13-of-17 5.0 GB: 14-of-17 5.0 GB: 15-of-17 4.9 GB: 16-of-17 0.6 GB: 17-of-17
Model Architecture	Qwen3NextForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic 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 Qwen.Qwen3 Next 80B A3B Instruct FP8 Dynamic

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Qwen3 Next 80B A3B Instruct	256K / 162.7 GB	422	89
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
...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

Note: green Score (e.g. "73.2") means that the model is better than DevQuasar/Qwen.Qwen3-Next-80B-A3B-Instruct-FP8-Dynamic.