Can I run this LLM?
Can a NVIDIA GB300 Grace Blackwell (288GB HBM + 480GB) run Ornith 1.5 35B-A3B (MoE)?
Ornith · MIT · estimated for a 288.0 GB machine at 4K context.
Yes — it runs great.
Runs greatBest fit: Ornith 1.5 35B-A3B (MoE) at FP16 · 71.1 GB weights · 266–399 tok/s on a NVIDIA GB300 Grace Blackwell (288GB HBM + 480GB).
Arena Text Overall · style-controlled
UnratedNo exact matchNo 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
- 72.0 GB
- Weights + KV cache + runtime overhead
- Estimated generation
- 266–399 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.
| Quant | Weights | Total memory | Speed | Fit |
|---|---|---|---|---|
| Q2_K | 13.1 GB | 14.0 GB | 342–512 tok/s | Runs great |
| Q3_K_M | 16.7 GB | 17.6 GB | 336–503 tok/s | Runs great |
| Q4_K_M | 21.9 GB | 22.8 GB | 328–491 tok/s | Runs great |
| Q5_K_M | 25.5 GB | 26.4 GB | 322–483 tok/s | Runs great |
| Q6_K | 30.5 GB | 31.4 GB | 315–472 tok/s | Runs great |
| Q8_0 | 37.8 GB | 38.7 GB | 305–457 tok/s | Runs great |
| FP16 | 71.1 GB | 72.0 GB | 266–399 tok/s | Runs great |
Ran Ornith 1.5 35B-A3B (MoE) on a NVIDIA GB300 Grace Blackwell (288GB HBM + 480GB)? Add your real numbers →