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text model · Qwen3 · Windows

Can I run Qwen3 235B A22B on Nvidia GeForce RTX 4090 (24GB)?

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

No. Qwen3 235B A22B needs ~136.9 GB even at Q4_K_M, but Nvidia GeForce RTX 4090 (24GB) only has ~23 GB usable.

Needs ~136.9 GB Device usable ~23 GB

Needs ~136.9 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 113.9 GB: Qwen3 235B A22B needs roughly 136.9 GB at Q4_K_M and Nvidia GeForce RTX 4090 (24GB) leaves only about 23 GB usable for a model. The lightest tracked hardware that runs Qwen3 235B A22B is the Apple M3 Ultra (256GB) at 256 GB. See Qwen3 235B A22B on Apple M3 Ultra (256GB).

Q4_K_M needed
~136.9 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
~102.9 GB
Q3_K_M
~119.4 GB
Q4_K_M
~136.9 GB
Q5_K_M
~171.9 GB
Q6_K
~197.2 GB
Q8_0
~237.3 GB
FP16
~474.5 GB
The line marks Nvidia GeForce RTX 4090 (24GB)'s ~23 GB budget; rungs past it are too large.
Model Qwen3
Parameters
235B (MoE, 22B active)
Q4_K_M size
132.39 GB
Q8_0 size
232.77 GB
Context
128k
Ollama tag
qwen3:235b
Full Qwen3 235B A22B requirements →
Device Windows
Memory
24 GB vram
Usable for weights
~23 GB
Power draw
~450 W
Best runtime
vLLM (Linux) / Ollama (CUDA)
Best models for Nvidia GeForce RTX 4090 (24GB) →

What you can run instead

Run Qwen3 235B A22B on other hardware

FAQ

Can Nvidia GeForce RTX 4090 (24GB) run Qwen3 235B A22B?

No. Qwen3 235B A22B needs ~136.9 GB even at Q4_K_M, but Nvidia GeForce RTX 4090 (24GB) only has ~23 GB usable.

How much memory does Qwen3 235B A22B need?

Nvidia GeForce RTX 4090 (24GB) does not have enough memory. At Q4_K_M the weights are ~132.39 GB; with KV cache and runtime overhead, budget ~136.9 GB at a 4k context. It is a Mixture-of-Experts model (235B total / 22B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run Qwen3 235B A22B 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.