text model · Qwen3 · Windows
Can I run Qwen3 32B on Nvidia GeForce RTX 4080 (16GB)?
No. Qwen3 32B needs ~22 GB even at Q4_K_M, but Nvidia GeForce RTX 4080 (16GB) only has ~15 GB usable.
Needs ~22 GB even at Q4_K_M, but only ~15 GB is usable.
- Q4_K_M needed
- ~22 GB
- Usable on device
- ~15 GB
- Device memory
- 16 GB
- Parameters
- 32B
- Q4_K_M size
- 19.8 GB
- Q8_0 size
- 34.8 GB
- Context
- 32k
- Ollama tag
- qwen3:32b
- Memory
- 16 GB vram
- Usable for weights
- ~15 GB
- Best runtime
- vLLM (Linux) / Ollama (CUDA)
What you can run instead
Run Qwen3 32B on other hardware
FAQ
Can Nvidia GeForce RTX 4080 (16GB) run Qwen3 32B?
No. Qwen3 32B needs ~22 GB even at Q4_K_M, but Nvidia GeForce RTX 4080 (16GB) only has ~15 GB usable.
How much memory does Qwen3 32B need?
Nvidia GeForce RTX 4080 (16GB) does not have enough memory. At Q4_K_M the weights are ~19.8 GB; with KV cache and runtime overhead, budget ~22 GB at a 4k context.
What is the best tool to run Qwen3 32B 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.