Can I run this LLM?
Can a NVIDIA H100 SXM (80GB) run Nemotron 3.5 Lightning 30B-A3B (MoE)?
Nemotron · openmdw-1.1 · estimated for a 80.0 GB machine at 4K context.
Yes — it runs great.
Runs greatBest fit: Nemotron 3.5 Lightning 30B-A3B (MoE) at Q8_0 · 35.0 GB weights · 248–373 tok/s on a NVIDIA H100 SXM (80GB).
Arena Text Overall · style-controlled
UnratedAmbiguous matchAmbiguous Arena identity; unrated
Arena identity is ambiguous. The published NVFP4 configuration differs from generic local GGUF quantizations. 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
- 35.8 GB
- Weights + KV cache + runtime overhead
- Estimated generation
- 248–373 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 | 18.9 GB | 19.7 GB | 291–437 tok/s | Runs great |
| Q3_K_M | 19.8 GB | 20.6 GB | 288–433 tok/s | Runs great |
| Q4_K_M | 25.5 GB | 26.3 GB | 272–408 tok/s | Runs great |
| Q5_K_M | 27.0 GB | 27.8 GB | 268–402 tok/s | Runs great |
| Q6_K | 34.3 GB | 35.1 GB | 250–375 tok/s | Runs great |
| Q8_0 | 35.0 GB | 35.8 GB | 248–373 tok/s | Runs great |
| FP16 | 65.9 GB | 66.7 GB | 194–291 tok/s | Tight / slow |
Ran Nemotron 3.5 Lightning 30B-A3B (MoE) on a NVIDIA H100 SXM (80GB)? Add your real numbers →