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
More models your RTX 5000 Ada 32GB can run
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 69.7 tok/s | ||
| 27B | S | 30.2 tok/s | ||
| 27B | S | 30.3 tok/s | ||
| 35B | S | 58.6 tok/s | ||
| 30B | S | 72.1 tok/s |
Frequently asked questions
Can RTX 5000 Ada 32GB run Nous Hermes 1.0?
Yes, RTX 5000 Ada 32GB can run Nous Hermes 1.0 with a A grade (Runs well). Expected decode speed: 83.9 tok/s.
How much VRAM does Nous Hermes 1.0 need?
Nous Hermes 1.0 (9B parameters) requires approximately 22.1 GB of memory with Q4_K_M quantization.
What is the best quantization for Nous Hermes 1.0?
The recommended quantization for Nous Hermes 1.0 is Q4_K_M, which balances quality and memory efficiency.
What speed will Nous Hermes 1.0 run at on RTX 5000 Ada 32GB?
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.
Can RTX 5000 Ada 32GB run Nous Hermes 1.0 for coding?
For coding workloads, Nous Hermes 1.0 on RTX 5000 Ada 32GB receives a A grade with 83.9 tok/s and 16K context.
What context window can Nous Hermes 1.0 use on RTX 5000 Ada 32GB?
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.
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<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>
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