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Can I run Qwen2-VL 7B on NVIDIA RTX A4000?

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Yes, you can run this model!
GPU VRAM
16.0GB
Required
14.0GB
Headroom
+2.0GB

VRAM Usage

0GB 88% used 16.0GB

Performance Estimate

Tokens/sec ~63.0
Batch size 1

info Technical Analysis

NVIDIA RTX A4000 is well-suited for running Qwen2-VL 7B. The 16.0GB VRAM provides adequate headroom (2.0GB) beyond the 14.0GB requirement for standard inference workloads.

lightbulb Recommendation

This is a solid configuration for Qwen2-VL 7B. Use standard settings and you should experience good performance for most use cases.

tune Recommended Settings

Batch_Size
1
Context_Length
32768
Inference_Framework
llama.cpp or vLLM

help Frequently Asked Questions

Can I run Qwen2-VL 7B on NVIDIA RTX A4000? expand_more
NVIDIA RTX A4000 with 16.0GB VRAM can run Qwen2-VL 7B (7.00B) (14.0GB required) with 2.0GB headroom. This provides comfortable room for inference with standard settings.
How much VRAM does Qwen2-VL 7B need? expand_more
Qwen2-VL 7B requires approximately 14.0GB of VRAM.
What performance can I expect? expand_more
Estimated 63 tokens per second.

GPU

memory
NVIDIA RTX A4000
16.0GB VRAM

AI Model

smart_toy
Qwen2-VL 7B (7.00B)
7.00B params

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