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

Qwen3 Next 80B A3B Thinking 4bit requires approximately 44.9 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 4bit and how large is it?

Qwen3 Next 80B A3B Thinking 4bit is developed by mlx-community, 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 4bit?

Qwen3 Next 80B A3B Thinking 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 Thinking 4bit by mlx-community — VRAM 44.9GB, 256K context

Name: Qwen3 Next 80B A3B Thinking 4bit
Author: mlx-community

Qwen3 Next 80B A3B Thinking 4bit is an open-source language model by mlx-community. Features: 80b LLM, VRAM: 44.9GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.23.

4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-next-80b... Conversational Mlx Quantized Qwen3 next Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-Next-80B-A3B-Thinking-4bit

Qwen3 Next 80B A3B Thinking 4bit Parameters and Internals

LLM Name	Qwen3 Next 80B A3B Thinking 4bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen3-Next-80B-A3B-Thinking-4bit
Base Model(s)	Qwen3 Next 80B A3B Thinking Qwen/Qwen3-Next-80B-A3B-Thinking
Model Size	80b
Required VRAM	44.9 GB
Updated	2026-07-21
Maintainer	mlx-community
Model Type	qwen3_next
Model Files	5.1 GB: 1-of-9 5.3 GB: 2-of-9 5.2 GB: 3-of-9 5.3 GB: 4-of-9 5.3 GB: 5-of-9 5.2 GB: 6-of-9 5.3 GB: 7-of-9 5.3 GB: 8-of-9 2.9 GB: 9-of-9
Quantization Type	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
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 Next 80B A3B Thinking 4bit 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 Thinking 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
...en3 Next 80B A3B Thinking 8bit	256K / 83.9 GB	2587	3
...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 Thinking	256K / 162.7 GB	100	7
Qwen3 Next 80B A3B Instruct	256K / 162.7 GB	286679	1042

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