Qwen2.5-VL-32B-Instruct-AWQ
The Qwen2.5-VL-32B-Instruct-AWQ is a high-performance, vision-language model optimized for efficient inference. It represents a significant step up in complexity and reasoning from the 7B models, sitting in the "heavyweight" class that typically requires multi-GPU setups or advanced quantization to run at interactive speeds.
Metadata
Provider
Qwen
Modality
multimodal
API type
image2text
Source
huggingface /
Qwen/Qwen2.5-VL-32B-Instruct-AWQ
Created
2026-04-06 22:47:40 UTC
Updated
2026-04-13 13:45:44 UTC
Catalog version
2
Visibility
Published
Specifications
Parameters
—
MoE
No
Max model length
10000
Image
vllm/vllm-openai:v0.16.0
Default Deploy Config
GPU count
1
vRAM
50000 MB
Summary
1xGPU 50000 MB
Recommended Use Cases
—