Qwen2.5-VL-72B-Instruct

Qwen2.5-VL-72B-Instruct

Qwen/Qwen2.5-VL-72B-Instruct

About Qwen2.5-VL-72B-Instruct

Qwen2.5-VL is a vision-language model in the Qwen2.5 series that shows significant enhancements in several aspects: it has strong visual understanding capabilities, recognizing common objects while analyzing texts, charts, and layouts in images; it functions as a visual agent capable of reasoning and dynamically directing tools; it can comprehend videos over 1 hour long and capture key events; it accurately localizes objects in images by generating bounding boxes or points; and it supports structured outputs for scanned data like invoices and forms. The model demonstrates excellent performance across various benchmarks including image, video, and agent tasks

Available Serverless

Run queries immediately, pay only for usage

$

0.59

/

$

0.59

Per 1M Tokens (input/output)

Metadata

Create on

Jan 28, 2025

License

-

Provider

Qwen

Specification

State

Available

Architecture

Vision-Language Model (VLM) with a Streamlined and Efficient Vision Encoder (ViT with window attention, SwiGLU, RMSNorm) aligned with the Qwen2.5 LLM structure. Features include Dynamic Resolution and Frame Rate Training for video understanding, mRoPE for temporal sequence and speed, and YaRN for long text context length extrapolation.

Calibrated

No

Mixture of Experts

No

Total Parameters

72B

Activated Parameters

72B

Reasoning

No

Precision

FP8

Context length

131K

Max Tokens

4K

Supported Functionality

Serverless

Supported

Serverless LoRA

Not supported

Fine-tuning

Not supported

Embeddings

Not supported

Rerankers

Not supported

Support image input

Supported

JSON Mode

Not supported

Structured Outputs

Not supported

Tools

Not supported

Fim Completion

Not supported

Chat Prefix Completion

Supported

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English

© 2025 SiliconFlow

English

© 2025 SiliconFlow

English

© 2025 SiliconFlow