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Can I run this LLM?

Can a NVIDIA RTX 6000 Ada (48GB) run LFM2.5 24B A2B?

LFM · LFM Open License v1.0 (restricted) · estimated for a 48.0 GB machine at 4K context.

Yes — it runs great.

Runs great

Best fit: LFM2.5 24B A2B at Q8_0 · 25.5 GB weights · 153–230 tok/s on a NVIDIA RTX 6000 Ada (48GB).

Pack & allocation notes: Q2–Q6 labels use Unsloth's dynamic UD-Qn_K_XL packs. The FP16 label uses BF16 weights. Runtime allocation can differ for this hybrid model. The LFM Open License v1.0 has commercial restrictions.

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
26.4 GB
Weights + KV cache + runtime overhead
Estimated generation
153–230 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.

LFM2.5 24B A2B quantizations on NVIDIA RTX 6000 Ada (48GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K8.0 GB8.9 GB250–375 tok/sRuns great
Q3_K_M11.0 GB11.8 GB226–339 tok/sRuns great
Q4_K_M14.9 GB15.8 GB200–301 tok/sRuns great
Q5_K_M17.9 GB18.8 GB184–276 tok/sRuns great
Q6_K21.9 GB22.7 GB167–250 tok/sRuns great
Q8_025.5 GB26.4 GB153–230 tok/sRuns great
FP1648.0 GB48.8 GB— not residentWon't fit
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