Hermes 4.3 36B needs ~32.2 GB VRAM. RTX 6000 Ada 48GB has 48.0 GB. With Q4_K_M quantization, expect ~36 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
35.8 tok/s
TTFT
5401 ms
Safe context
76K
Memory
32.2 GB / 48.0 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 | 35.8 tok/s | 2946 ms | 76K |
| Coding | C | Runs well | 35.8 tok/s | 5401 ms | 76K |
| Agentic Coding | C | Runs well | 35.8 tok/s | 7856 ms | 76K |
| Reasoning | C | Runs well | 35.8 tok/s | 6383 ms | 76K |
| RAG | C | Runs well | 35.8 tok/s | 9820 ms | 76K |
How Hermes 4.3 36B (36B params) fits at each quantization level on RTX 6000 Ada 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 14.0 GB | Low | C44 |
Q3_K_S | 3 | 17.6 GB | Low | C45 |
NVFP4 | 4 | 20.2 GB | Medium | C46 |
Q4_K_M | 4 | 22.0 GB | Medium | C47 |
Q5_K_M | 5 | 25.9 GB | High | C48 |
Q6_K | 6 | 29.5 GB | High | C48 |
Q8_0Best for your GPU | 8 | 38.5 GB | Very High | C48 |
F16 | 16 | 73.8 GB | Maximum | F0 |
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, RTX 6000 Ada 48GB can run Hermes 4.3 36B with a C grade (Runs well). Expected decode speed: 35.8 tok/s.
Hermes 4.3 36B (36B parameters) requires approximately 32.2 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 RTX 6000 Ada 48GB, Hermes 4.3 36B achieves approximately 35.8 tokens per second decode speed with a time-to-first-token of 5401ms using Q4_K_M quantization.
For coding workloads, Hermes 4.3 36B on RTX 6000 Ada 48GB receives a C grade with 35.8 tok/s and 76K context.
On RTX 6000 Ada 48GB, Hermes 4.3 36B can safely use up to 76K 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-rtx-6000-ada-48gb" 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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