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text model · Qwen3 · Windows

Can I run Qwen3 32B on AMD Radeon RX 7900 XTX (24GB)?

Compatibility verdict VRAM threshold engine
Yes, but tight GPU accelerated ~32 tok/s est.

Yes. Qwen3 32B runs on AMD Radeon RX 7900 XTX (24GB) at Q4_K_M (~22 GB of ~23 GB usable).

Needs ~22 GB Device usable ~23 GB

Fits at Q4_K_M (~22 GB of ~23 GB usable) but with little headroom. Close other apps; a smaller context frees a few hundred MB.

That figure is at a 4k context and moves about ±15% as context length changes. AMD Radeon RX 7900 XTX (24GB) leaves ~1 GB of headroom.

Q4_K_M needed
~22 GB
Usable on device
~23 GB
Device memory
24 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~23 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 AMD Radeon RX 7900 XTX (24GB)'s ~23 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.
Power draw
~355 W
Electricity / 1M tokens
~$0.46
Pays for itself after
~24,975M tok

At ~$0.15/kWh and the estimated ~32 tok/s, a million generated tokens costs about $0.46 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$999 AMD Radeon RX 7900 XTX (24GB) pays for itself after roughly 24,975 million tokens, so local hardware is mostly a fixed cost, not a per-token one. TDP is the peak draw, so this is an upper bound. Assumptions.

Run it

Install commands Windows

Pick your tool. All 3 load the same Q4_K_M weights.

Ollama
$ ollama run qwen3:32b
llama.cpp
$ llama-cli -hf Qwen/Qwen3-32B-GGUF:Q4_K_M
LM Studio
$ lms get Qwen/Qwen3-32B-GGUF
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
24 GB vram
Usable for weights
~23 GB
Power draw
~355 W
Best runtime
Ollama (ROCm) / llama.cpp ROCm (Linux)
Best models for AMD Radeon RX 7900 XTX (24GB) →

You could also run

Run Qwen3 32B on other hardware

FAQ

Can AMD Radeon RX 7900 XTX (24GB) run Qwen3 32B?

Yes. Qwen3 32B runs on AMD Radeon RX 7900 XTX (24GB) at Q4_K_M (~22 GB of ~23 GB usable).

How much memory does Qwen3 32B need?

It is a tight fit on AMD Radeon RX 7900 XTX (24GB). 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.