Qwen2.5-VL-7B-Instruct
About Qwen2.5-VL-7B-Instruct
Qwen2.5-VL is a new member of the Qwen series, equipped with powerful visual comprehension capabilities. It can analyze text, charts, and layouts within images, understand long videos, and capture events. It is capable of reasoning, manipulating tools, supporting multi-format object localization, and generating structured outputs. The model has been optimized for dynamic resolution and frame rate training in video understanding, and has improved the efficiency of the visual encoder.
Available Serverless
Run queries immediately, pay only for usage
$
0.05
/
$
0.05
Per 1M Tokens (input/output)
Metadata
Specification
State
Available
Architecture
Calibrated
No
Mixture of Experts
No
Total Parameters
7B
Activated Parameters
7B
Reasoning
No
Precision
FP8
Context length
33K
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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Model FAQs: Usage, Deployment
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