Can Hermes 4.3 36B run on NVIDIA A100 80GB?
YES — Runs Great
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
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
78.0 tok/s
TTFT
2482 ms
Safe context
185K
Memory
35.4 GB / 80.0 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 | 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 |
Quantization options
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 | 20.2 GB | 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 |
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 startFrequently asked questions
Can NVIDIA A100 80GB run Hermes 4.3 36B?
Yes, NVIDIA A100 80GB can run Hermes 4.3 36B with a C grade (Runs well). Expected decode speed: 78.0 tok/s.
How much VRAM does Hermes 4.3 36B need?
Hermes 4.3 36B (36B parameters) requires approximately 35.4 GB of memory with Q4_K_M quantization.
What is the best quantization for Hermes 4.3 36B?
The recommended quantization for Hermes 4.3 36B is Q4_K_M, which balances quality and memory efficiency.
What speed will Hermes 4.3 36B run at on NVIDIA A100 80GB?
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.
Can NVIDIA A100 80GB run Hermes 4.3 36B for coding?
For coding workloads, Hermes 4.3 36B on NVIDIA A100 80GB receives a C grade with 78.0 tok/s and 185K context.
What context window can Hermes 4.3 36B use on NVIDIA A100 80GB?
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.
Embed this result▼
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<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>
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