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Can I run this LLM?

Can a NVIDIA A100 (80GB) run North Mini Code 1.0 (MoE)?

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

Yes — it runs great.

Runs great

Best fit: North Mini Code 1.0 (MoE) at FP16 · 61.0 GB weights · 143–215 tok/s on a NVIDIA A100 (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
62.2 GB
Weights + KV cache + runtime overhead
Estimated generation
143–215 tok/s
Estimated first token
~0.3s

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.

North Mini Code 1.0 (MoE) quantizations on NVIDIA A100 (80GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K10.5 GB11.7 GB272–407 tok/sRuns great
Q3_K_M14.2 GB15.4 GB255–382 tok/sRuns great
Q4_K_M19.2 GB20.4 GB235–353 tok/sRuns great
Q5_K_M23.0 GB24.2 GB222–334 tok/sRuns great
Q6_K25.5 GB26.7 GB214–322 tok/sRuns great
Q8_032.4 GB33.7 GB195–293 tok/sRuns great
FP1661.0 GB62.2 GB143–215 tok/sRuns great
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