Can Nous Hermes 1.0 run on RX 7900 XT 20GB?
YES — With Offload
Nous Hermes 1.0 needs ~20.6 GB VRAM. RX 7900 XT 20GB has 20.0 GB. With Q4_K_M quantization, expect ~62 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
0.6 GB over capacity — needs offload or smaller quantization
Fit status
Runs with offload (needs ~0.2 GB host RAM)
Decode
61.6 tok/s
TTFT
3141 ms
Safe context
15K
Memory
20.6 GB / 20.0 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Best improvement path
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 87.4 tok/s | 1208 ms | 15K |
| Coding | A | Runs with offload (needs ~0.2 GB host RAM) | 61.6 tok/s | 3141 ms | 15K |
| Agentic Coding | F | Too heavy | 23.1 tok/s | 12169 ms | 15K |
| Reasoning | A | Runs with offload (needs ~0.2 GB host RAM) | 61.6 tok/s | 3712 ms | 15K |
| RAG | F | Too heavy | 23.1 tok/s | 15211 ms | 15K |
Quantization options
How Nous Hermes 1.0 (9B params) fits at each quantization level on RX 7900 XT 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B66 |
Q3_K_S | 3 | 4.4 GB | Low | B67 |
NVFP4 | 4 | 5.0 GB | Medium | B67 |
Q4_K_M | 4 | 5.5 GB | Medium | B68 |
Q5_K_M | 5 | 6.5 GB | High | B69 |
Q6_K | 6 | 7.4 GB | High | B69 |
Q8_0Best for your GPU | 8 | 9.6 GB | Very High | A71 |
F16 | 16 | 18.5 GB | Maximum | F0 |
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 RX 7900 XT 20GB can run
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | A | 40.7 tok/s | ||
| 27B | A | 18.3 tok/s | ||
| 27B | S | 17.3 tok/s | ||
| 30B | A | 43.3 tok/s | ||
| 24B | S | 35.2 tok/s |
Frequently asked questions
Can RX 7900 XT 20GB run Nous Hermes 1.0?
Yes, RX 7900 XT 20GB can run Nous Hermes 1.0 with a A grade (Runs with offload (needs ~0.2 GB host RAM)). Expected decode speed: 61.6 tok/s.
How much VRAM does Nous Hermes 1.0 need?
Nous Hermes 1.0 (9B parameters) requires approximately 20.6 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 RX 7900 XT 20GB?
On RX 7900 XT 20GB, Nous Hermes 1.0 achieves approximately 61.6 tokens per second decode speed with a time-to-first-token of 3141ms using Q4_K_M quantization.
Can RX 7900 XT 20GB run Nous Hermes 1.0 for coding?
For coding workloads, Nous Hermes 1.0 on RX 7900 XT 20GB receives a A grade with 61.6 tok/s and 15K context.
What context window can Nous Hermes 1.0 use on RX 7900 XT 20GB?
On RX 7900 XT 20GB, Nous Hermes 1.0 can safely use up to 15K tokens of context. The model's official context limit is 16K, but available memory constrains the safe maximum.
What should I upgrade first if Nous Hermes 1.0 feels slow on RX 7900 XT 20GB?
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Embed this result▼
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<iframe src="https://willitrunai.com/embed/nous-hermes-1.0-on-rx-7900-xt-20gb" 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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