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Can I run this LLM?

Can a NVIDIA H100 SXM (80GB) run Qwen3 14B?

Qwen · Apache 2.0 · estimated for a 80.0 GB machine at 4K context.

Yes — it runs great.

Runs great

Best fit: Qwen3 14B at FP16 · 29.5 GB weights · 67–100 tok/s on a NVIDIA H100 SXM (80GB).

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
31.0 GB
Weights + KV cache + runtime overhead
Estimated generation
67–100 tok/s
Estimated first token
~0.7s

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 14B quantizations on NVIDIA H100 SXM (80GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K5.8 GB7.2 GB188–282 tok/sRuns great
Q3_K_M7.3 GB8.8 GB168–252 tok/sRuns great
Q4_K_M9.0 GB10.5 GB151–226 tok/sRuns great
Q5_K_M10.5 GB12.0 GB138–207 tok/sRuns great
Q6_K12.1 GB13.6 GB127–190 tok/sRuns great
Q8_015.7 GB17.2 GB107–161 tok/sRuns great
FP1629.5 GB31.0 GB67–100 tok/sRuns great
Open the full calculator →Everything a NVIDIA H100 SXM (80GB) runsQwen3 14B on other machinesWhat to buy to run it →

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