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Qwen 2.5 VL 72B

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370.7KDescargas622Me gustaJan 2025Publicado33K tokensContextoApache 2.0Licencia94 ExcepcionalCalidad

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.

Comenzar

— copia y pega para ejecutar en local

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,...

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Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
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

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

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Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights43.9 GB
KV Cache4.9 GB
Runtime0.9 GB
Headroom0.6 GB

Preguntas frecuentes

FAQ — Qwen 2.5 VL 72B

Ver también