Alibaba

Qwen 2.5 VL 72B

Name: Qwen 2.5 VL 72B
Rating: 88 (44 reviews)
Author: Alibaba

Frontier

HuggingFace

370.7KDownloads622LikesJan 2025Veröffentlicht33K TokenKontextApache 2.0Lizenz94 HerausragendQualität

Qwen 2.5 VL 72B (72B parameters) requires approximately 50.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 58 GB of VRAM.

Loslegen

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Copy-paste commands to run Qwen 2.5 VL 72B on your machine.

Run

lms load Qwen2.5-VL-72B-Instruct && lms server start

Quick specs

Parameters72B

Architecturedense

Context33K tokens

Modalitytext+vision

Min RAM28.1 GB

Rec. RAM43.9 GB (Q4_K_M)

LicenseApache 2.0

FamilyQwen

✓ Vision✓ 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,...

Verwandte Modelle

Schnellauswahl

Bestes BudgetS

MacBook Pro M4 Max 96GB~$2,499 — 15 tok/s

Beste GesamtwahlS

NVIDIA H100 80GB~$40,000 — 70 tok/s

Beste Hardware

Top-Empfehlungen für Qwen 2.5 VL 72B

Dieses Modell ausführen

Qwen 2.5 VL 72B on NVIDIA H100 80GB Qwen 2.5 VL 72B on NVIDIA H800 80GB Qwen 2.5 VL 72B on NVIDIA GH200 96GB

Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

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	—

Quality benchmarks

Qwen 2.5 VL 72B benchmark scores

Benchmark verified

Reasoning

MMLU-Pro70.2%

GPQA Diamond—

MATH-500—

ARC Challenge—

Source: community · 2025-01-26

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

Rechner öffnen

Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights43.9 GB

KV Cache4.9 GB

Runtime0.9 GB

Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Qwen 2.5 VL 72B

Siehe auch

Quantisierungsleitfaden Bewertungsmethodik Rechner öffnen