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
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
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.
| 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 |
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 |
Copy-paste commands to run Nous Hermes 1.0 on your machine.
Run
lms load Nous-Hermes-1.0 && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 69.7 tok/s | ||
| 27B | S | 30.2 tok/s |
Yes, RTX 5000 Ada 32GB can run Nous Hermes 1.0 with a A grade (Runs well). Expected decode speed: 83.9 tok/s.
Nous Hermes 1.0 (9B parameters) requires approximately 22.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Nous Hermes 1.0 is Q4_K_M, which balances quality and memory efficiency.
On RTX 5000 Ada 32GB, Nous Hermes 1.0 achieves approximately 83.9 tokens per second decode speed with a time-to-first-token of 2307ms using Q4_K_M quantization.
For coding workloads, Nous Hermes 1.0 on RTX 5000 Ada 32GB receives a A grade with 83.9 tok/s and 16K context.
On RTX 5000 Ada 32GB, Nous Hermes 1.0 can safely use up to 16K tokens of context. The model's official context limit is 16K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/nous-hermes-1.0-on-rtx-5000-ada-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| 16K |
| 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 |
| 27B | S | 30.3 tok/s |
| 35B | S | 58.6 tok/s |
| 30B | S | 72.1 tok/s |