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Can I run this LLM?

Can a NVIDIA RTX 4080 (16GB) run DeepSeek-R1-Distill 32B?

DeepSeek · Apache 2.0 · estimated for a 16.0 GB machine at 4K context.

Yes, but it's tight.

Tight / slow

Best fit: DeepSeek-R1-Distill 32B at Q2_K · 12.3 GB weights · 36–54 tok/s on a NVIDIA RTX 4080 (16GB).

Arena Text Overall · style-controlled

UnratedNo exact match

No reviewed exact Arena match

No reviewed exact model/configuration match in the Arena Text Overall style-controlled snapshot. No family or editorial score is substituted. Local quantization quality is unmeasured.

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
14.2 GB
Weights + KV cache + runtime overhead
Estimated generation
36–54 tok/s
Estimated first token
~8.2s

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.

DeepSeek-R1-Distill 32B quantizations on NVIDIA RTX 4080 (16GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K12.3 GB14.2 GB36–54 tok/sTight / slow
Q3_K_M15.9 GB17.8 GB— not residentWon't fit
Q4_K_M19.9 GB21.7 GB— not residentWon't fit
Q5_K_M23.3 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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