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Can I run Qwen3 32B on Nvidia GeForce RTX 4060 Ti (16GB)?

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

No. Qwen3 32B needs ~22 GB even at Q4_K_M, but Nvidia GeForce RTX 4060 Ti (16GB) only has ~15 GB usable.

Needs ~22 GB Device usable ~15 GB

Needs ~22 GB even at Q4_K_M, but only ~15 GB is usable.

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

The gap is about 7 GB: Qwen3 32B needs roughly 22 GB at Q4_K_M and Nvidia GeForce RTX 4060 Ti (16GB) leaves only about 15 GB usable for a model. The lightest tracked hardware that runs Qwen3 32B is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See Qwen3 32B on Nvidia GeForce RTX 4090 (24GB).

Too big for Nvidia GeForce RTX 4060 Ti (16GB)'s VRAM, but you could offload some layers to system RAM and still run it at roughly ~4 tok/s, far slower than a model that fits. How this is estimated.

Q4_K_M needed
~22 GB
Usable on device
~15 GB
Device memory
16 GB
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Which quant fits

Quant ladder vs ~15 GB usable
Q2_K
~15.6 GB
Q3_K_M
~17.8 GB
Q4_K_M
~22 GB
Q5_K_M
~25 GB
Q6_K
~28.4 GB
Q8_0
~37 GB
FP16
~68.2 GB
The line marks Nvidia GeForce RTX 4060 Ti (16GB)'s ~15 GB budget; rungs past it are too large.
Model Qwen3
Parameters
32B
Q4_K_M size
19.8 GB
Q8_0 size
34.8 GB
Context
32k
Ollama tag
qwen3:32b
Full Qwen3 32B requirements →
Device Windows
Memory
16 GB vram
Usable for weights
~15 GB
Power draw
~165 W
Best runtime
Ollama (CUDA) / llama.cpp CUDA
Best models for Nvidia GeForce RTX 4060 Ti (16GB) →

What you can run instead

Run Qwen3 32B on other hardware

FAQ

Can Nvidia GeForce RTX 4060 Ti (16GB) run Qwen3 32B?

No. Qwen3 32B needs ~22 GB even at Q4_K_M, but Nvidia GeForce RTX 4060 Ti (16GB) only has ~15 GB usable.

How much memory does Qwen3 32B need?

Nvidia GeForce RTX 4060 Ti (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.

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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.