Can Nous Hermes 1.0 run on RTX 5000 Ada 32GB?
YES — Runs Great
Nous Hermes 1.0 needs ~22.1 GB VRAM. RTX 5000 Ada 32GB has 32.0 GB. With Q4_K_M quantization, expect ~84 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
Runs well
Decode
83.9 tok/s
TTFT
2307 ms
Safe context
16K
Memory
22.1 GB / 32.0 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 83.9 tok/s | 1258 ms | 16K |
| Coding | A | Runs well | 83.9 tok/s | 2307 ms | 16K |
| Agentic Coding | B | Runs with offload (needs ~0.4 GB host RAM) | 54.4 tok/s | 5178 ms | 16K |
| Reasoning | A | Runs well | 83.9 tok/s | 2726 ms | 16K |
| RAG | B | Runs with offload (needs ~0.4 GB host RAM) | 54.4 tok/s | 6473 ms | 16K |
Quantization options
How Nous Hermes 1.0 (9B params) fits at each quantization level on RTX 5000 Ada 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B64 |
Q3_K_S | 3 | 4.4 GB | Low | B64 |
NVFP4 | 4 | 5.0 GB | Medium | B64 |
Q4_K_M | 4 | 5.5 GB | Medium | B64 |
Q5_K_M | 5 | 6.5 GB | High | B65 |
Q6_K | 6 | 7.4 GB | High | B65 |
Q8_0 | 8 | 9.6 GB | Very High | B66 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | B70 |
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
