InferX Beta Serverless GPU Inference Platform, Built for Agent-Native Workloads

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.
Qwen multimodal image2text
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Metadata

Provider
Qwen
Modality
multimodal
API type
image2text
Source
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

Model Spec