Can Nous Hermes 1.0 run on Quadro RTX 6000 24GB?
YES — Tight Fit
Nous Hermes 1.0 needs ~21.3 GB VRAM. Quadro RTX 6000 24GB has 24.0 GB. With Q4_K_M quantization, expect ~85 tok/s.
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Tight fit
Decode
84.5 tok/s
TTFT
2292 ms
Safe context
16K
Memory
21.3 GB / 24.0 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 84.5 tok/s | 1250 ms | 16K |
| Coding | A | Tight fit | 84.5 tok/s | 2292 ms | 16K |
| Agentic Coding | F | Too heavy | 29.6 tok/s | 9510 ms | 16K |
| Reasoning | A | Tight fit | 84.5 tok/s | 2709 ms | 16K |
| RAG | F | Too heavy | 29.6 tok/s | 11888 ms | 16K |
Quantization options
How Nous Hermes 1.0 (9B params) fits at each quantization level on Quadro RTX 6000 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B65 |
Q3_K_S | 3 | 4.4 GB | Low | B66 |
NVFP4 | 4 | 5.0 GB | Medium | B66 |
Q4_K_M | 4 | 5.5 GB | Medium | B66 |
Q5_K_M | 5 | 6.5 GB | High | B67 |
Q6_K | 6 | 7.4 GB | High | B67 |
Q8_0 | 8 | 9.6 GB | Very High | B69 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | A70 |
Get started
Copy-paste commands to run Nous Hermes 1.0 on your machine.
Run
lms load Nous-Hermes-1.0 && lms server startYour hardware
