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Can I run Qwen 2.5 72B (INT8 (8-bit Integer)) on NVIDIA A100 40GB?

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Fail/OOM
This GPU doesn't have enough VRAM
GPU VRAM
40.0GB
Required
72.0GB
Headroom
-32.0GB

VRAM Usage

0GB 100% used 40.0GB

info Technical Analysis

NVIDIA A100 40GB cannot run Qwen 2.5 72B (72.00B) in this configuration. The model requires 72.0GB but only 40.0GB is available, leaving you 32.0GB short.

lightbulb Recommendation

Consider using a more aggressive quantization (Q4_K_M, Q3_K_M) to reduce VRAM requirements, or upgrade to a GPU with more VRAM. Cloud GPU services like RunPod or Vast.ai offer affordable options.

tune Recommended Settings

Batch_Size
None
Context_Length
None
Inference_Framework
llama.cpp or vLLM

help Frequently Asked Questions

Can I run Qwen 2.5 72B (72.00B) on NVIDIA A100 40GB? expand_more
NVIDIA A100 40GB (40.0GB VRAM) cannot run Qwen 2.5 72B (72.00B) which requires 72.0GB. You are 32.0GB short. Consider using a more aggressive quantization (like Q4_K_M or Q3_K_M) or upgrading to a GPU with more VRAM.
How much VRAM does Qwen 2.5 72B (72.00B) need? expand_more
Qwen 2.5 72B (72.00B) requires approximately 72.0GB of VRAM.
What performance can I expect? expand_more
Estimated None tokens per second.

GPU

memory
NVIDIA A100 40GB
40.0GB VRAM

AI Model

smart_toy
Qwen 2.5 72B (72.00B)
72.00B params

Alternative Quantizations

q3_k_m Perfect Q4_K_M (GGUF 4-bit) Perfect

More with A100 40GB

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