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Can I run this LLM?

Can a NVIDIA H200 (141GB) run Qwen3 8B?

Qwen · Apache 2.0 · estimated for a 141.0 GB machine at 4K context.

Yes — it runs great.

Runs great

Best fit: Qwen3 8B at FP16 · 16.4 GB weights · 133–199 tok/s on a NVIDIA H200 (141GB).

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
17.8 GB
Weights + KV cache + runtime overhead
Estimated generation
133–199 tok/s
Estimated first token
~0.4s

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 8B quantizations on NVIDIA H200 (141GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K3.3 GB4.7 GB262–393 tok/sRuns great
Q3_K_M4.1 GB5.5 GB246–370 tok/sRuns great
Q4_K_M5.0 GB6.4 GB232–348 tok/sRuns great
Q5_K_M5.9 GB7.3 GB220–330 tok/sRuns great
Q6_K6.7 GB8.1 GB209–313 tok/sRuns great
Q8_08.7 GB10.1 GB187–280 tok/sRuns great
FP1616.4 GB17.8 GB133–199 tok/sRuns great
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