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Can I run this LLM?

Can a NVIDIA RTX 5060 Ti (16GB) run Ornith 1.5 35B-A3B (MoE)?

Ornith · MIT · estimated for a 16.0 GB machine at 4K context.

Yes, but it's tight.

Tight / slow

Best fit: Ornith 1.5 35B-A3B (MoE) at Q2_K · 13.1 GB weights · 158–236 tok/s on a NVIDIA RTX 5060 Ti (16GB).

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
14.0 GB
Weights + KV cache + runtime overhead
Estimated generation
158–236 tok/s
Estimated first token
~1.5s

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.

Ornith 1.5 35B-A3B (MoE) quantizations on NVIDIA RTX 5060 Ti (16GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q2_K13.1 GB14.0 GB158–236 tok/sTight / slow
Q3_K_M16.7 GB17.6 GB— not residentWon't fit
Q4_K_M21.9 GB22.8 GB— not residentWon't fit
Q5_K_M25.5 GB26.4 GB— not residentWon't fit
Q6_K30.5 GB31.4 GB— not residentWon't fit
Q8_037.8 GB38.7 GB— not residentWon't fit
FP1671.1 GB72.0 GB— not residentWon't fit
Open the full calculator →Everything a NVIDIA RTX 5060 Ti (16GB) runsOrnith 1.5 35B-A3B (MoE) on other machinesWhat to buy to run it →

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