Nous Hermes 1.0 needs ~21.0 GB VRAM. RX 7900 XTX 24GB has 24.0 GB. With Q4_K_M quantization, expect ~126 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
Tight fit
Decode
125.9 tok/s
TTFT
1538 ms
Safe context
16K
Memory
21.0 GB / 24.0 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 | 125.9 tok/s | 839 ms | 16K |
| Coding | A | Tight fit | 125.9 tok/s | 1538 ms | 16K |
| Agentic Coding | F | Too heavy | 47.7 tok/s | 5906 ms | 16K |
| Reasoning | A | Tight fit | 125.9 tok/s | 1817 ms | 16K |
| RAG | F | Too heavy | 47.7 tok/s | 7383 ms | 16K |
How Nous Hermes 1.0 (9B params) fits at each quantization level on RX 7900 XTX 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 |
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 | 104.5 tok/s | ||
| 27B | S | 45.3 tok/s |
Yes, RX 7900 XTX 24GB can run Nous Hermes 1.0 with a A grade (Tight fit). Expected decode speed: 125.9 tok/s.
Nous Hermes 1.0 (9B parameters) requires approximately 21.0 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 RX 7900 XTX 24GB, Nous Hermes 1.0 achieves approximately 125.9 tokens per second decode speed with a time-to-first-token of 1538ms using Q4_K_M quantization.
For coding workloads, Nous Hermes 1.0 on RX 7900 XTX 24GB receives a A grade with 125.9 tok/s and 16K context.
On RX 7900 XTX 24GB, 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-rx-7900-xtx-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
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 |
| 27B | S | 29.8 tok/s |
| 35B | A | 45 tok/s |
| 30B | S | 108.1 tok/s |