Sube la velocidad estimada de decodificación alrededor de un 222%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$9,999 MSRP
Hermes 4.3 36B needs ~33.8 GB VRAM. NVIDIA A16 64GB has 64.0 GB. With Q4_K_M quantization, expect ~21 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
21.3 tok/s
TTFT
9084 ms
Safe context
131K
Memory
33.8 GB / 64.0 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 | 21.3 tok/s | 4955 ms | 131K |
| Coding | C | Runs well | 21.3 tok/s | 9084 ms | 131K |
| Agentic Coding | C | Runs well | 21.3 tok/s | 13214 ms | 131K |
| Reasoning | C | Runs well | 21.3 tok/s | 10736 ms | 131K |
| RAG | C | Runs well | 21.3 tok/s | 16517 ms | 131K |
How Hermes 4.3 36B (36B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 14.0 GB | Low | C42 |
Q3_K_S | 3 | 17.6 GB | Low | C43 |
NVFP4 | 4 | 20.2 GB | Medium | C43 |
Q4_K_M | 4 | 22.0 GB | Medium | C44 |
Q5_K_M | 5 | 25.9 GB | High | C45 |
Q6_K | 6 | 29.5 GB | High | C46 |
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 startOpciones de mejora
Sube la velocidad estimada de decodificación alrededor de un 222%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$9,999 MSRP
Sube la velocidad estimada de decodificación alrededor de un 187%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$9,999 MSRP
Sube la velocidad estimada de decodificación alrededor de un 592%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$12,000 MSRP
Yes, NVIDIA A16 64GB can run Hermes 4.3 36B with a C grade (Runs well). Expected decode speed: 21.3 tok/s.
Hermes 4.3 36B (36B parameters) requires approximately 33.8 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 A16 64GB, Hermes 4.3 36B achieves approximately 21.3 tokens per second decode speed with a time-to-first-token of 9084ms using Q4_K_M quantization.
For coding workloads, Hermes 4.3 36B on NVIDIA A16 64GB receives a C grade with 21.3 tok/s and 131K context.
On NVIDIA A16 64GB, Hermes 4.3 36B can safely use up to 131K 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-a16-64gb" 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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