👁 Alibaba
Alibaba
Qwen 2.5 VL 72B
Frontier
479.0KDownloads630LikesJan 2025Released33K tokensContextApache 2.0License94 ExceptionalQuality
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.
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— copy & paste to run locallyCopy-paste commands to run Qwen 2.5 VL 72B on your machine.
Run
lms load Qwen2.5-VL-72B-Instruct && lms server startQuick 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
- •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,...
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Quick picks
Best budgetS
MacBook Pro M4 Max 96GB~$2,499 — 15 tok/s
Best overallS
NVIDIA H100 80GB~$40,000 — 70 tok/sBest hardware
Top picks for Qwen 2.5 VL 72B
Run this model
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 | — |
Quality benchmarks
Qwen 2.5 VL 72B benchmark scores
Reasoning
MMLU-Pro70.2%
GPQA Diamond—
MATH-500—
ARC Challenge—
Source: community · 2025-01-26
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights43.9 GB
KV Cache4.9 GB
Runtime0.9 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Qwen 2.5 VL 72B
See also