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Can I run this LLM?

Can a Mac Studio M2 Ultra (192GB) run DeepSeek V4 Flash (MoE)?

DeepSeek · MIT · estimated for a 192.0 GB machine at 4K context.

Yes — it runs great.

Runs great

Best fit: DeepSeek V4 Flash (MoE) at Q2_K · 96.8 GB weights · 71–106 tok/s on a Mac Studio M2 Ultra (192GB).

Arena Text Overall · style-controlled

UnratedAmbiguous match

Ambiguous Arena identity; unrated

Arena identity is ambiguous. The local 0731 release is not bound to the unversioned Arena entry or preview configurations. No rating is assigned or used for ranking. 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
98.0 GB
Weights + KV cache + runtime overhead
Estimated generation
71–106 tok/s
Estimated first token
~6.0s

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.

DeepSeek V4 Flash (MoE) quantizations on Mac Studio M2 Ultra (192GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K96.8 GB98.0 GB71–106 tok/sRuns great
Q3_K_M128.1 GB129.2 GB60–90 tok/sTight / slow
Q4_K_M155.1 GB156.3 GB— not residentWon't fit

Ran DeepSeek V4 Flash (MoE) on a Mac Studio M2 Ultra (192GB)? Add your real numbers →