Alibaba

Qwen 2.5 VL 72B

Name: Qwen 2.5 VL 72B
Author: Alibaba

Frontier

HuggingFace

269.4KDownloads598LikesJan 2025Released33K tokensContextApache 2.0License5 EntryQuality

Get started

— copy & paste to run locally

Ollama

ollama run qwen-2.5-vl-72b

HuggingFace

huggingface-cli download qwen-2.5-vl-72b

Quick specs

Parameters72B

Architecturedense

Context33K tokens

Modalitytext+vision

Min RAM28.1 GB

Rec. RAM43.9 GB (Q4_K_M)

LicenseApache 2.0

FamilyQwen

✓ Chat✓ Reasoning

About this model

license: other license_name: qwen license_link: https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct/blob/main/LICENSE language: - en pipeline_tag: image-text-to-text tags: - multimodal library_name: transformers

•Understand things visually: Qwen2.5-VL is not only proficient in recognizing common objects such as flowers, birds, fish, and insects, but it is...
•Being agentic: Qwen2.5-VL directly plays as a visual agent that can reason and dynamically direct tools, which is capable of computer use and...
•Understanding long videos and capturing events: Qwen2.5-VL can comprehend videos of over 1 hour, and this time it has a new ability of cpaturing...
•Capable of visual localization in different formats: Qwen2.5-VL can accurately localize objects in an image by generating bounding boxes or...
•Generating structured outputs: for data like scans of invoices, forms, tables, etc. Qwen2.5-VL supports structured outputs of their contents,...

Related models

Quick picks

Best budgetC

MacBook Pro M3 Max 128GB~$2,499 — 6 tok/s

Best overallB

NVIDIA H100 80GB~$40,000 — 64 tok/s

Best hardware

Top picks for Qwen 2.5 VL 72B

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	28.1 GB	Low	—
Q3_K_S	3	35.3 GB	Low	—
NVFP4	4	40.3 GB	Medium	—
Q4_K_M	4	43.9 GB	Medium	—
Q5_K_M	5	51.8 GB	High	—
Q6_K	6	59.0 GB	High	—
Q8_0	8	77.0 GB	Very High	—
F16	16	147.6 GB	Maximum	—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights43.9 GB

KV Cache11.3 GB

Runtime0.9 GB

Headroom2.4 GB

Quant

Bits

VRAM

Quality

Fit

Q2_K

28.1 GB

Low

—

Q3_K_S

35.3 GB

Low

—

NVFP4

40.3 GB

Medium

—

Q4_K_M

43.9 GB

Medium

—

Q5_K_M

51.8 GB

High

—

Q6_K

59.0 GB

High

—

Q8_0

77.0 GB

Very High

—

F16

147.6 GB

Maximum

—