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Can I run this LLM?

Can a NVIDIA A100 (80GB) run LFM2.5 8B-A1B (MoE)?

LFM · See model card · estimated for a 80.0 GB machine at 4K context.

Yes — it runs great.

Runs great

Best fit: LFM2.5 8B-A1B (MoE) at FP16 · 17.0 GB weights · 210–316 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
17.8 GB
Weights + KV cache + runtime overhead
Estimated generation
210–316 tok/s
Estimated first token
~0.1s

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.

LFM2.5 8B-A1B (MoE) quantizations on NVIDIA A100 (80GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q4_K_M5.2 GB6.0 GB297–446 tok/sRuns great
Q5_K_M6.0 GB6.9 GB288–433 tok/sRuns great
Q6_K7.0 GB7.8 GB280–419 tok/sRuns great
Q8_09.0 GB9.9 GB262–393 tok/sRuns great
FP1617.0 GB17.8 GB210–316 tok/sRuns great

Ran LFM2.5 8B-A1B (MoE) on a NVIDIA A100 (80GB)? Add your real numbers →