What are the hardware requirements for Qwen2 VL 72B Instruct?

Qwen2 VL 72B Instruct requires approximately 146.8 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 VL 72B Instruct and how large is it?

Qwen2 VL 72B Instruct is developed by Qwen, a model with 72b 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 Qwen2 VL 72B Instruct?

Qwen2 VL 72B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 VL 72B Instruct by Qwen — VRAM 146.8GB, 32K context

Name: Qwen2 VL 72B Instruct
Author: Qwen

Qwen2 VL 72B Instruct is an open-source language model by Qwen. Features: 72b LLM, VRAM: 146.8GB, Context: 32K, License: other, Instruction-Based.

Arxiv:2308.12966 Arxiv:2409.12191 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-vl-72b Conversational Deploy:azure En Endpoints compatible Eval-results Image-text-to-text Instruct Multimodal Qwen2 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct

Qwen2 VL 72B Instruct Parameters and Internals

LLM Name	Qwen2 VL 72B Instruct
Repository 🤗	https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct
Base Model(s)	Qwen2 VL 72B Qwen/Qwen2-VL-72B
Model Size	72b
Required VRAM	146.8 GB
Updated	2026-08-10
Maintainer	Qwen
Model Type	qwen2_vl
Instruction-Based	Yes
Model Files	3.9 GB: 1-of-38 3.8 GB: 2-of-38 4.0 GB: 3-of-38 4.0 GB: 4-of-38 4.0 GB: 5-of-38 3.8 GB: 6-of-38 4.0 GB: 7-of-38 4.0 GB: 8-of-38 4.0 GB: 9-of-38 3.8 GB: 10-of-38 4.0 GB: 11-of-38 4.0 GB: 12-of-38 4.0 GB: 13-of-38 3.8 GB: 14-of-38 4.0 GB: 15-of-38 4.0 GB: 16-of-38 4.0 GB: 17-of-38 3.8 GB: 18-of-38 4.0 GB: 19-of-38 4.0 GB: 20-of-38 4.0 GB: 21-of-38 3.8 GB: 22-of-38 4.0 GB: 23-of-38 4.0 GB: 24-of-38 4.0 GB: 25-of-38 3.8 GB: 26-of-38 4.0 GB: 27-of-38 4.0 GB: 28-of-38 4.0 GB: 29-of-38 3.8 GB: 30-of-38 4.0 GB: 31-of-38 4.0 GB: 32-of-38 4.0 GB: 33-of-38 3.8 GB: 34-of-38 4.0 GB: 35-of-38 4.0 GB: 36-of-38 2.2 GB: 37-of-38 2.5 GB: 38-of-38
Supported Languages	en
Model Architecture	Qwen2VLForConditionalGeneration
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 VL 72B Instruct 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

Quantized Models of the Qwen2 VL 72B Instruct

Model	Likes	Downloads	VRAM
...wen2 VL 72B Instruct GPTQ Int8	11	126	78 GB
...wen2 VL 72B Instruct GPTQ Int4	30	536	43 GB
Qwen2 VL 72B Instruct AWQ	50	87190	43 GB

Best Alternatives to Qwen2 VL 72B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 VL 72B Instruct 8bit	32K / 77.8 GB	79	4
Qwen2 VL 72B Instruct 4bit	32K / 41.3 GB	72	5
...wen2 VL 72B Instruct GPTQ Int4	32K / 43 GB	536	30
Qwen2 VL 72B Instruct AWQ	32K / 43 GB	87190	50
...wen2 VL 72B Instruct GPTQ Int8	32K / 78.4 GB	126	11

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-VL-72B-Instruct.