text model · Qwen2.5 · Windows
Can I run Qwen2.5 72B on Nvidia GeForce RTX 5090 (32GB)?
No. Qwen2.5 72B needs ~50.2 GB even at Q4_K_M, but Nvidia GeForce RTX 5090 (32GB) only has ~31 GB usable.
Needs ~50.2 GB even at Q4_K_M, but only ~31 GB is usable.
- Q4_K_M needed
- ~50.2 GB
- Usable on device
- ~31 GB
- Device memory
- 32 GB
- Parameters
- 72B
- Q4_K_M size
- 47.42 GB
- Q8_0 size
- 77.26 GB
- Context
- 128k
- Ollama tag
- qwen2.5:72b
- Memory
- 32 GB vram
- Usable for weights
- ~31 GB
- Best runtime
- vLLM (Linux) / Ollama (CUDA)
What you can run instead
Run Qwen2.5 72B on other hardware
FAQ
Can Nvidia GeForce RTX 5090 (32GB) run Qwen2.5 72B?
No. Qwen2.5 72B needs ~50.2 GB even at Q4_K_M, but Nvidia GeForce RTX 5090 (32GB) only has ~31 GB usable.
How much memory does Qwen2.5 72B need?
Nvidia GeForce RTX 5090 (32GB) 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.
Sources
Memory figures are estimates. See methodology.