Can I run this LLM?
Can a NVIDIA RTX 4080 (16GB) run MiniCPM5 2B?
MiniCPM · Apache 2.0 · estimated for a 16.0 GB machine at 4K context.
Yes — it runs great.
Runs greatBest fit: MiniCPM5 2B at FP16 · 5.0 GB weights · 80–119 tok/s on a NVIDIA RTX 4080 (16GB).
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
- 6.0 GB
- Weights + KV cache + runtime overhead
- Estimated generation
- 80–119 tok/s
- Estimated first token
- ~0.7s
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 | 1.0 GB | 2.0 GB | 201–302 tok/s | Runs great |
| Q3_K_M | 1.2 GB | 2.2 GB | 185–278 tok/s | Runs great |
| Q4_K_M | 1.6 GB | 2.6 GB | 163–245 tok/s | Runs great |
| Q5_K_M | 1.9 GB | 2.9 GB | 150–224 tok/s | Runs great |
| Q6_K | 2.1 GB | 3.1 GB | 142–213 tok/s | Runs great |
| Q8_0 | 2.7 GB | 3.7 GB | 123–185 tok/s | Runs great |
| FP16 | 5.0 GB | 6.0 GB | 80–119 tok/s | Runs great |
Ran MiniCPM5 2B on a NVIDIA RTX 4080 (16GB)? Add your real numbers →