Can I run this LLM?
Can a NVIDIA RTX 6000 Ada (48GB) run GLM-4 9B?
GLM · MIT · estimated for a 48.0 GB machine at 4K context.
Yes — it runs great.
Runs greatBest fit: GLM-4 9B at FP16 · 18.8 GB weights · 34–51 tok/s on a NVIDIA RTX 6000 Ada (48GB).
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
- 19.8 GB
- Weights + KV cache + runtime overhead
- Estimated generation
- 34–51 tok/s
- Estimated first token
- ~1.3s
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 | 4.0 GB | 5.0 GB | 116–174 tok/s | Runs great |
| Q3_K_M | 5.0 GB | 5.9 GB | 100–150 tok/s | Runs great |
| Q4_K_M | 6.2 GB | 7.1 GB | 86–129 tok/s | Runs great |
| Q5_K_M | 7.1 GB | 8.0 GB | 77–116 tok/s | Runs great |
| Q6_K | 8.3 GB | 9.2 GB | 68–103 tok/s | Runs great |
| Q8_0 | 10.0 GB | 11.0 GB | 59–88 tok/s | Runs great |
| FP16 | 18.8 GB | 19.8 GB | 34–51 tok/s | Runs great |
Ran GLM-4 9B on a NVIDIA RTX 6000 Ada (48GB)? Add your real numbers →