What are the hardware requirements for Qwen2.5 VL 72B Instruct?

Qwen2.5 VL 72B Instruct requires approximately 146.8 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 VL 72B Instruct and how large is it?

Qwen2.5 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 Qwen2.5 VL 72B Instruct?

Qwen2.5 VL 72B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 VL 72B Instruct by Qwen — VRAM 146.8GB, 125K context

Name: Qwen2.5 VL 72B Instruct
Author: Qwen

Qwen2.5 VL 72B Instruct is an open-source language model by Qwen. Features: 72b LLM, VRAM: 146.8GB, Context: 125K, License: other, Instruction-Based, LLM Explorer Score: 0.29.

Arxiv:2308.12966 Arxiv:2309.00071 Arxiv:2409.12191 Conversational Deploy:azure En Endpoints compatible Eval-results Image-text-to-text Instruct Multimodal Qwen2 5 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct

Qwen2.5 VL 72B Instruct Parameters and Internals

LLM Name	Qwen2.5 VL 72B Instruct
Repository 🤗	https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct
Model Size	72b
Required VRAM	146.8 GB
Updated	2026-08-09
Maintainer	Qwen
Model Type	qwen2_5_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	Qwen2_5_VLForConditionalGeneration
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 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 Qwen2.5 VL 72B Instruct

Model	Likes	Downloads	VRAM
Qwen2.5 VL 72B Instruct AWQ	73	282497	43 GB
Qwen2.5 VL 72B Instruct GGUF	11	6011	1 GB
Qwen2.5 VL 72B Instruct 4bit	9	1304	42 GB
Qwen2.5 VL 72B Instruct 3bit	5	296	33 GB
...en2.5 VL 72B Instruct Bnb 4bit	15	160	41 GB
Qwen2.5 VL 72B Instruct 8bit	2	214	77 GB
... 72B Instruct Unsloth Bnb 4bit	8	151	45 GB
Qwen2.5 VL 72B Instruct 6bit	1	132	59 GB

Best Alternatives to Qwen2.5 VL 72B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 VL 72B Instruct	125K / 147.5 GB	23	1
Qwen2.5 VL 72B Instruct 4bit	125K / 42.2 GB	1304	9
Qwen2.5 VL 72B Instruct 3bit	125K / 33.3 GB	296	5
...en2.5 VL 72B Instruct Bnb 4bit	125K / 41.8 GB	160	15
Qwen2.5 VL 72B Instruct 8bit	125K / 77.8 GB	214	2
... 72B Instruct Unsloth Bnb 4bit	125K / 45.1 GB	151	8
Qwen2.5 VL 72B Instruct 6bit	125K / 59.7 GB	132	1
Qwen2.5 VL 72B Instruct AWQ	125K / 43 GB	282497	73
Qwen2.5 VL 72B Instruct GGUF	125K / 1.4 GB	6011	11