Can Nous Hermes 1.0 run on Radeon Pro W6800 32GB?
YES — Runs Great
Nous Hermes 1.0 needs ~21.8 GB VRAM. Radeon Pro W6800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~52 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
Runs well
Decode
52.2 tok/s
TTFT
3707 ms
Safe context
16K
Memory
21.8 GB / 32.0 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 | 52.2 tok/s | 2022 ms | 16K |
| Coding | A | Runs well | 52.2 tok/s | 3707 ms | 16K |
| Agentic Coding | B | Runs with offload (needs ~0.3 GB host RAM) | 34.5 tok/s | 8170 ms | 16K |
| Reasoning | A | Runs well | 52.2 tok/s | 4381 ms | 16K |
| RAG | B | Runs with offload (needs ~0.3 GB host RAM) | 34.5 tok/s | 10212 ms | 16K |
Quantization options
How Nous Hermes 1.0 (9B params) fits at each quantization level on Radeon Pro W6800 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 |
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
