NousResearch Hermes 4 14B needs ~16.2 GB VRAM. RTX 6000 Ada 48GB has 48.0 GB. With Q4_K_M quantization, expect ~92 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
92.2 tok/s
TTFT
2100 ms
Safe context
326K
Memory
16.2 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 | 92.2 tok/s | 1146 ms | 326K |
| Coding | C | Runs well | 92.2 tok/s | 2100 ms | 326K |
| Agentic Coding | C | Runs well | 92.2 tok/s | 3055 ms | 326K |
| Reasoning | C | Runs well | 92.2 tok/s | 2482 ms | 326K |
| RAG | C | Runs well | 92.2 tok/s | 3819 ms | 326K |
How NousResearch Hermes 4 14B (14B params) fits at each quantization level on RTX 6000 Ada 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C42 |
Q3_K_S | 3 | 6.9 GB | Low | C42 |
NVFP4 | 4 | 7.8 GB | Medium | C42 |
Q4_K_M | 4 | 8.5 GB | Medium | C42 |
Q5_K_M | 5 | 10.1 GB | High | C43 |
Q6_K | 6 | 11.5 GB | High | C43 |
Q8_0 | 8 | 15.0 GB | Very High | C44 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C48 |
Copy-paste commands to run NousResearch Hermes 4 14B on your machine.
Run
lms load hf-bartowski--nousresearch-hermes-4-14b-gguf && lms server startYes, RTX 6000 Ada 48GB can run NousResearch Hermes 4 14B with a C grade (Runs well). Expected decode speed: 92.2 tok/s.
NousResearch Hermes 4 14B (14B parameters) requires approximately 16.2 GB of memory with Q4_K_M quantization.
The recommended quantization for NousResearch Hermes 4 14B is Q4_K_M, which balances quality and memory efficiency.
On RTX 6000 Ada 48GB, NousResearch Hermes 4 14B achieves approximately 92.2 tokens per second decode speed with a time-to-first-token of 2100ms using Q4_K_M quantization.
For coding workloads, NousResearch Hermes 4 14B on RTX 6000 Ada 48GB receives a C grade with 92.2 tok/s and 326K context.
On RTX 6000 Ada 48GB, NousResearch Hermes 4 14B can safely use up to 326K 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-bartowski--nousresearch-hermes-4-14b-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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