Nous Hermes 1.0 needs ~23.4 GB VRAM. Radeon Pro W7900 48GB has 48.0 GB. With Q4_K_M quantization, expect ~93 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
92.9 tok/s
TTFT
2085 ms
Safe context
16K
Memory
23.4 GB / 48.0 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 | 92.9 tok/s | 1137 ms | 16K |
| Coding | A | Runs well | 92.9 tok/s | 2085 ms | 16K |
| Agentic Coding | A | Runs well | 92.9 tok/s | 3033 ms | 16K |
| Reasoning | A | Runs well | 92.9 tok/s | 2464 ms | 16K |
| RAG | A | Runs well | 92.9 tok/s | 3791 ms | 16K |
How Nous Hermes 1.0 (9B params) fits at each quantization level on Radeon Pro W7900 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B62 |
Q3_K_S | 3 | 4.4 GB | Low | B62 |
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 |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 77.1 tok/s | |
| Qwen 3.5 27B | 27B | S | 33.4 tok/s |
Yes, Radeon Pro W7900 48GB can run Nous Hermes 1.0 with a A grade (Runs well). Expected decode speed: 92.9 tok/s.
Nous Hermes 1.0 (9B parameters) requires approximately 23.4 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 Radeon Pro W7900 48GB, Nous Hermes 1.0 achieves approximately 92.9 tokens per second decode speed with a time-to-first-token of 2085ms using Q4_K_M quantization.
For coding workloads, Nous Hermes 1.0 on Radeon Pro W7900 48GB receives a A grade with 92.9 tok/s and 16K context.
On Radeon Pro W7900 48GB, 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-radeon-pro-w7900-48gb" 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 |
| B62 |
Q4_K_M | 4 | 5.5 GB | Medium | B62 |
Q5_K_M | 5 | 6.5 GB | High | B63 |
Q6_K | 6 | 7.4 GB | High | B63 |
Q8_0 | 8 | 9.6 GB | Very High | B63 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | B66 |
| Qwen 3.6 27B | 27B | S | 23.9 tok/s |
| Qwen 3.6 35B A3B | 35B | S | 64.8 tok/s |
| Qwen3-VL 30B A3B Instruct | 30B | S | 79.7 tok/s |