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text model · Qwen2.5 · Windows

Can I run Qwen2.5 72B on Nvidia GeForce RTX 3090 (24GB)?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

No. Qwen2.5 72B needs ~50.2 GB even at Q4_K_M, but Nvidia GeForce RTX 3090 (24GB) only has ~23 GB usable.

Needs ~50.2 GB Device usable ~23 GB

Needs ~50.2 GB even at Q4_K_M, but only ~23 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 27.2 GB: Qwen2.5 72B needs roughly 50.2 GB at Q4_K_M and Nvidia GeForce RTX 3090 (24GB) leaves only about 23 GB usable for a model. The lightest tracked hardware that runs Qwen2.5 72B is the Apple M4 Max (128GB) at 128 GB. See Qwen2.5 72B on Apple M4 Max (128GB).

Too big for Nvidia GeForce RTX 3090 (24GB)'s VRAM, but you could offload some layers to system RAM and still run it at roughly ~1 tok/s, far slower than a model that fits. How this is estimated.

Q4_K_M needed
~50.2 GB
Usable on device
~23 GB
Device memory
24 GB
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Which quant fits

Quant ladder vs ~23 GB usable
Q2_K
~33 GB
Q3_K_M
~38 GB
Q4_K_M
~50.2 GB
Q5_K_M
~54.1 GB
Q6_K
~61.8 GB
Q8_0
~80.1 GB
FP16
~146.8 GB
The line marks Nvidia GeForce RTX 3090 (24GB)'s ~23 GB budget; rungs past it are too large.
Model Qwen2.5
Parameters
72B
Q4_K_M size
47.42 GB
Q8_0 size
77.26 GB
Context
128k
Ollama tag
qwen2.5:72b
Full Qwen2.5 72B requirements →
Device Windows
Memory
24 GB vram
Usable for weights
~23 GB
Power draw
~350 W
Best runtime
vLLM (Linux) / Ollama (CUDA)
Best models for Nvidia GeForce RTX 3090 (24GB) →

What you can run instead

Run Qwen2.5 72B on other hardware

FAQ

Can Nvidia GeForce RTX 3090 (24GB) run Qwen2.5 72B?

No. Qwen2.5 72B needs ~50.2 GB even at Q4_K_M, but Nvidia GeForce RTX 3090 (24GB) only has ~23 GB usable.

How much memory does Qwen2.5 72B need?

Nvidia GeForce RTX 3090 (24GB) does not have enough memory. At Q4_K_M the weights are ~47.42 GB; with KV cache and runtime overhead, budget ~50.2 GB at a 4k context.

What is the best tool to run Qwen2.5 72B on Windows?

LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

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Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.