Nous Hermes 1.0 needs ~21.8 GB VRAM. Radeon AI PRO R9700 32GB has 32.0 GB. With Q4_K_M quantization, expect ~69 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
68.8 tok/s
TTFT
2815 ms
Safe context
16K
Memory
21.8 GB / 32.0 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 | 68.8 tok/s | 1535 ms | 16K |
| Coding | A | Runs well | 68.8 tok/s | 2815 ms | 16K |
| Agentic Coding | B | Runs with offload (needs ~0.3 GB host RAM) | 46.5 tok/s | 6060 ms | 16K |
| Reasoning | A | Runs well | 68.8 tok/s | 3327 ms | 16K |
| RAG | B | Runs with offload (needs ~0.3 GB host RAM) | 46.5 tok/s | 7575 ms | 16K |
How Nous Hermes 1.0 (9B params) fits at each quantization level on Radeon AI PRO R9700 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 |
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 | 57.1 tok/s | |
| Qwen 3.5 27B | 27B | S | 24.8 tok/s | |
| Qwen 3.6 27B | 27B | S | 18.8 tok/s | |
| Qwen 3.6 35B A3B | 35B | S | 48 tok/s | |
| Qwen3-VL 30B A3B Instruct | 30B | S | 59.1 tok/s |
Yes, Radeon AI PRO R9700 32GB can run Nous Hermes 1.0 with a A grade (Runs well). Expected decode speed: 68.8 tok/s.
Nous Hermes 1.0 (9B parameters) requires approximately 21.8 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 AI PRO R9700 32GB, Nous Hermes 1.0 achieves approximately 68.8 tokens per second decode speed with a time-to-first-token of 2815ms using Q4_K_M quantization.
For coding workloads, Nous Hermes 1.0 on Radeon AI PRO R9700 32GB receives a A grade with 68.8 tok/s and 16K context.
On Radeon AI PRO R9700 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.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/nous-hermes-1.0-on-radeon-ai-pro-r9700-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: