What are the hardware requirements for Qwen3 Next 80B A3B Instruct AWQ 4bit?

Qwen3 Next 80B A3B Instruct AWQ 4bit requires approximately 47.5 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 Qwen3 Next 80B A3B Instruct AWQ 4bit and how large is it?

Qwen3 Next 80B A3B Instruct AWQ 4bit is developed by cpatonn, 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 Instruct AWQ 4bit?

Qwen3 Next 80B A3B Instruct AWQ 4bit 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 Instruct AWQ 4bit by cpatonn — VRAM 47.5GB, 256K context

Name: Qwen3 Next 80B A3B Instruct AWQ 4bit
Author: cpatonn

Qwen3 Next 80B A3B Instruct AWQ 4bit is an open-source language model by cpatonn. Features: 80b LLM, VRAM: 47.5GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.28.

Arxiv:2309.00071 Arxiv:2404.06654 Arxiv:2501.15383 Arxiv:2505.09388 4bit Autotrain compatible Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3-next-80b... Compressed-tensors Conversational Endpoints compatible Instruct Quantized Qwen3 next Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cpatonn/Qwen3-Next-80B-A3B-Instruct-AWQ-4bit

Qwen3 Next 80B A3B Instruct AWQ 4bit Parameters and Internals

LLM Name	Qwen3 Next 80B A3B Instruct AWQ 4bit
Repository 🤗	https://huggingface.co/cpatonn/Qwen3-Next-80B-A3B-Instruct-AWQ-4bit
Base Model(s)	Qwen3 Next 80B A3B Instruct Qwen/Qwen3-Next-80B-A3B-Instruct
Model Size	80b
Required VRAM	47.5 GB
Updated	2025-09-23
Maintainer	cpatonn
Model Type	qwen3_next
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-10 5.0 GB: 2-of-10 5.0 GB: 3-of-10 5.0 GB: 4-of-10 5.0 GB: 5-of-10 5.0 GB: 6-of-10 5.0 GB: 7-of-10 5.0 GB: 8-of-10 5.0 GB: 9-of-10 2.5 GB: 10-of-10
AWQ Quantization	Yes
Quantization Type	awq\|4bit
Model Architecture	Qwen3NextForCausalLM
License	apache-2.0
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 Qwen3 Next 80B A3B Instruct AWQ 4bit 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 Instruct AWQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...en3 Next 80B A3B Instruct 8bit	256K / 83.9 GB	4443	8
...en3 Next 80B A3B Instruct 4bit	256K / 44.9 GB	3019	24
...3 Next 80B A3B Instruct Q2 Mlx	256K / 24.9 GB	3026	5
...Next 80B A3B Instruct Bnb 4bit	256K / 42.1 GB	889	27
...en3 Next 80B A3B Instruct 6bit	256K / 64.2 GB	67	4
...en3 Next 80B A3B Instruct 5bit	256K / 54.9 GB	53	3
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
...en3 Next 80B A3B Instruct GGUF	256K / 20.5 GB	20108	189

Note: green Score (e.g. "73.2") means that the model is better than cpatonn/Qwen3-Next-80B-A3B-Instruct-AWQ-4bit.