Can Nous Hermes 1.0 run on NVIDIA H20 96GB?
YES — Runs Great
Nous Hermes 1.0 needs ~28.5 GB VRAM. NVIDIA H20 96GB has 96.0 GB. With Q4_K_M quantization, expect ~126 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
126.0 tok/s
TTFT
1537 ms
Safe context
16K
Memory
28.5 GB / 96.0 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 | B | Runs well | 126.0 tok/s | 838 ms | 16K |
| Coding | B | Runs well | 126.0 tok/s | 1537 ms | 16K |
| Agentic Coding | A | Runs well | 126.0 tok/s | 2235 ms | 16K |
| Reasoning | B | Runs well | 126.0 tok/s | 1816 ms | 16K |
| RAG | A | Runs well | 126.0 tok/s | 2794 ms | 16K |
Quantization options
How Nous Hermes 1.0 (9B params) fits at each quantization level on NVIDIA H20 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B60 |
Q3_K_S | 3 | 4.4 GB | Low | B60 |
NVFP4 | 4 |
Get started
Copy-paste commands to run Nous Hermes 1.0 on your machine.
Run
lms load Nous-Hermes-1.0 && lms server start