Can Hermes 4.3 36B run on NVIDIA A100 40GB?
YES — Runs Great
Hermes 4.3 36B needs ~31.4 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~60 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
59.5 tok/s
TTFT
3255 ms
Safe context
49K
Memory
31.4 GB / 40.0 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 | B | Runs well | 59.5 tok/s | 1775 ms | 49K |
| Coding | B | Runs well | 59.5 tok/s | 3255 ms | 49K |
| Agentic Coding | C | Tight fit | 59.5 tok/s | 4734 ms | 49K |
| Reasoning | B | Runs well | 59.5 tok/s | 3847 ms | 49K |
| RAG | C | Tight fit | 59.5 tok/s | 5918 ms | 49K |
Quantization options
How Hermes 4.3 36B (36B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 14.0 GB | Low | C46 |
Q3_K_S | 3 | 17.6 GB | Low | C47 |
NVFP4 | 4 |
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