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Can I run this LLM?

Can a NVIDIA GB300 Grace Blackwell (288GB HBM + 480GB) run 1-bit Bonsai 27B?

Bonsai · Apache 2.0 · estimated for a 288.0 GB machine at 4K context.

Yes — it runs great.

Runs great

Best fit: 1-bit Bonsai 27B at Q1_0 · 3.8 GB weights · 271–407 tok/s on a NVIDIA GB300 Grace Blackwell (288GB HBM + 480GB).

Only the shipped native packs are available. Pack preference does not establish measured output quality. The trained context limit is 256K tokens. These estimates use 4K context.

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
4.9 GB
Weights + KV cache + runtime overhead
Estimated generation
271–407 tok/s
Estimated first token
~0.5s

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.

1-bit Bonsai 27B quantizations on NVIDIA GB300 Grace Blackwell (288GB HBM + 480GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q1_03.8 GB4.9 GB271–407 tok/sRuns great

Ran 1-bit Bonsai 27B on a NVIDIA GB300 Grace Blackwell (288GB HBM + 480GB)? Add your real numbers →