Can Nous Hermes 1.0 run on RTX A5000 24GB?
YES — Tight Fit
Nous Hermes 1.0 needs ~21.3 GB VRAM. RTX A5000 24GB has 24.0 GB. With Q4_K_M quantization, expect ~98 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
97.9 tok/s
TTFT
1977 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.
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 | 97.9 tok/s | 1078 ms | 16K |
| Coding | A | Tight fit | 97.9 tok/s | 1977 ms | 16K |
| Agentic Coding | F | Too heavy | 36.4 tok/s | 7739 ms | 16K |
| Reasoning | A | Tight fit | 97.9 tok/s | 2337 ms | 16K |
| RAG | F | Too heavy | 36.4 tok/s | 9673 ms | 16K |
Quantization options
How Nous Hermes 1.0 (9B params) fits at each quantization level on RTX A5000 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
