Hermes 4.3 36B needs ~35.4 GB VRAM. NVIDIA A100 80GB has 80.0 GB. With Q4_K_M quantization, expect ~78 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
78.0 tok/s
TTFT
2482 ms
Safe context
185K
Memory
35.4 GB / 80.0 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 | C | Runs well | 78.0 tok/s | 1354 ms | 185K |
| Coding | C | Runs well | 78.0 tok/s | 2482 ms | 185K |
| Agentic Coding | C | Runs well | 78.0 tok/s | 3611 ms | 185K |
| Reasoning | C | Runs well | 78.0 tok/s | 2934 ms | 185K |
| RAG | C | Runs well | 78.0 tok/s | 4513 ms | 185K |
How Hermes 4.3 36B (36B params) fits at each quantization level on NVIDIA A100 80GB (80.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 14.0 GB | Low | C41 |
Q3_K_S | 3 | 17.6 GB | Low | C41 |
NVFP4 | 4 |
Copy-paste commands to run Hermes 4.3 36B on your machine.
Run
lms load hf-nousresearch--hermes-4-3-36b-gguf && lms server startYes, NVIDIA A100 80GB can run Hermes 4.3 36B with a C grade (Runs well). Expected decode speed: 78.0 tok/s.
Hermes 4.3 36B (36B parameters) requires approximately 35.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Hermes 4.3 36B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A100 80GB, Hermes 4.3 36B achieves approximately 78.0 tokens per second decode speed with a time-to-first-token of 2482ms using Q4_K_M quantization.
For coding workloads, Hermes 4.3 36B on NVIDIA A100 80GB receives a C grade with 78.0 tok/s and 185K context.
On NVIDIA A100 80GB, Hermes 4.3 36B can safely use up to 185K tokens of context. The model's official context limit is —, 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/hf-nousresearch--hermes-4-3-36b-gguf-on-a100-80gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| C42 |
Q4_K_M | 4 | 22.0 GB | Medium | C42 |
Q5_K_M | 5 | 25.9 GB | High | C43 |
Q6_K | 6 | 29.5 GB | High | C44 |
Q8_0Best for your GPU | 8 | 38.5 GB | Very High | C46 |
F16 | 16 | 73.8 GB | Maximum | F0 |