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Can I run this LLM?

Can a NVIDIA RTX 4060 Laptop (8GB) run Ornith 1.0 9B?

Ornith · MIT · estimated for a 8.0 GB machine at 4K context.

Yes, but it's tight.

Tight / slow

Best fit: Ornith 1.0 9B at Q4_K_M · 5.6 GB weights · 30–45 tok/s on a NVIDIA RTX 4060 Laptop (8GB).

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
6.6 GB
Weights + KV cache + runtime overhead
Estimated generation
30–45 tok/s
Estimated first token
~8.9s

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 1.0 9B quantizations on NVIDIA RTX 4060 Laptop (8GB), estimated at 4K context. Weights and total memory are shown separately.
QuantWeightsTotal memorySpeedFit
Q4_K_M5.6 GB6.6 GB30–45 tok/sTight / slow
Q5_K_M6.5 GB7.4 GB— not residentWon't fit
Q6_K7.4 GB8.3 GB— not residentWon't fit
Q8_09.5 GB10.5 GB— not residentWon't fit
FP1617.9 GB18.9 GB— not residentWon't fit
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