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Can I run this LLM?

Can a NVIDIA H100 SXM (80GB) run Qwen3.8 27B?

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

Yes — it runs great.

Runs great

Best fit: Qwen3.8 27B at FP16 · 54.7 GB weights · 40–60 tok/s on a NVIDIA H100 SXM (80GB).

Arena Text Overall · style-controlled

1,438FP16 untested

qwen3.8-27b · published configuration reference · FP16 not tested

Arena Text Overall (style-controlled), exact published entry qwen3.8-27b, 2026-10-08: reference rating 1,438.1. Published confidence bounds 1,432.8–1,443.4. 20,711 votes. Published qwen3.8-27b configuration reference. Reasoning mode is not disclosed by the Arena dataset. Tested precision, runtime and sampling settings are not disclosed in this dataset. Selected FP16 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
55.7 GB
Weights + KV cache + runtime overhead
Estimated generation
40–60 tok/s
Estimated first token
~1.2s

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.

Qwen3.8 27B quantizations on NVIDIA H100 SXM (80GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K10.8 GB11.9 GB139–208 tok/sRuns great
Q3_K_M13.4 GB14.5 GB121–182 tok/sRuns great
Q4_K_M17.4 GB18.5 GB101–152 tok/sRuns great
Q5_K_M20.9 GB22.0 GB89–133 tok/sRuns great
Q6_K23.9 GB24.9 GB80–120 tok/sRuns great
Q8_029.1 GB30.2 GB68–103 tok/sRuns great
FP1654.7 GB55.7 GB40–60 tok/sRuns great

Ran Qwen3.8 27B on a NVIDIA H100 SXM (80GB)? Add your real numbers →