Can Hermes 4.3 36B run on NVIDIA H200 PCIe 141GB?
YES — Runs Great
Hermes 4.3 36B needs ~41.5 GB VRAM. NVIDIA H200 PCIe 141GB has 141.0 GB. With Q4_K_M quantization, expect ~184 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
183.6 tok/s
TTFT
1054 ms
Safe context
393K
Memory
41.5 GB / 141.0 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 | C | Runs well | 183.6 tok/s | 575 ms | 393K |
| Coding | C | Runs well | 183.6 tok/s | 1054 ms | 393K |
| Agentic Coding | C | Runs well | 183.6 tok/s | 1534 ms | 393K |
| Reasoning | C | Runs well | 183.6 tok/s | 1246 ms | 393K |
| RAG | C | Runs well | 183.6 tok/s | 1917 ms | 393K |
Quantization options
How Hermes 4.3 36B (36B params) fits at each quantization level on NVIDIA H200 PCIe 141GB (141.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 14.0 GB | Low | D38 |
Q3_K_S | 3 | 17.6 GB | Low | D38 |
NVFP4 | 4 | 20.2 GB | Medium | D39 |
Q4_K_M | 4 | 22.0 GB | Medium | D39 |
Q5_K_M | 5 | 25.9 GB | High | D39 |
Q6_K | 6 | 29.5 GB | High | D40 |
Q8_0 | 8 | 38.5 GB | Very High | C41 |
F16Best for your GPU | 16 | 73.8 GB | Maximum | C46 |
Get started
Copy-paste commands to run Hermes 4.3 36B on your machine.
Run
lms load hf-nousresearch--hermes-4-3-36b-gguf && lms server start