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Can I run this LLM?

Can a NVIDIA RTX 4090 (24GB) run Qwen3 32B?

Qwen · Apache 2.0 · estimated for a 24.0 GB machine at 4K context.

Yes — it runs great.

Runs great

Best fit: Qwen3 32B at Q3_K_M · 16.0 GB weights · 39–59 tok/s on a NVIDIA RTX 4090 (24GB).

Arena Text Overall · style-controlled

1,347Q3_K_M untested

qwen3-32b · published configuration reference · Q3_K_M not tested

Arena Text Overall (style-controlled), exact published entry qwen3-32b, 2026-10-08: reference rating 1,346.9. Published confidence bounds 1,337.4–1,356.3. 3,926 votes. Published qwen3-32b configuration reference. Reasoning mode is not disclosed by the Arena dataset. Tested precision, runtime and sampling settings are not disclosed in this dataset. Selected Q3_K_M has not been measured by this Arena entry. No quantization quality adjustment is applied.

Snapshot published 2026-10-08 · snapshot imported 2026-10-11 UTC · validated last-good data · manual refresh

Arena leaderboard dataset · Arena / lmarena-ai, Arena Leaderboard Dataset (CC BY 4.0). Selected Text Overall style-controlled rows; field names adapted, ratings unchanged. · dataset CC BY 4.0 · revision e16f90232986

Total memory at 4K context
17.8 GB
Weights + KV cache + runtime overhead
Estimated generation
39–59 tok/s
Estimated first token
~4.8s

Every quantization on this machine

On small screens, each quant lists every metric below its name. On wider screens, scroll sideways for total memory, speed and fit. Keyboard: focus the table, then use the arrow keys. Quant names stay visible.

Qwen3 32B quantizations on NVIDIA RTX 4090 (24GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K12.3 GB14.2 GB48–72 tok/sRuns great
Q3_K_M16.0 GB17.8 GB39–59 tok/sRuns great
Q4_K_M19.8 GB21.6 GB— not residentWon't fit
Q5_K_M23.2 GB25.1 GB— not residentWon't fit
Q6_K26.9 GB28.8 GB— not residentWon't fit
Q8_034.8 GB36.7 GB— not residentWon't fit
FP1665.5 GB67.4 GB— not residentWon't fit

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