RTX A6000 48GBBudget pick48 GB VRAM (+16)
C
Adds memory headroom for longer context windows and future model growth.26.6 tok/s decode
Adds memory headroom for longer context windows and future model growth.
~$4,650 MSRP
Hermes 4.3 36B needs ~30.6 GB VRAM. RTX PRO 4500 Blackwell 32GB has 32.0 GB. With Q4_K_M quantization, expect ~34 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 with offload
Decode
34.3 tok/s
TTFT
5649 ms
Safe context
21K
Memory
30.6 GB / 32.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Tight fit | 34.3 tok/s | 3081 ms | 21K |
| Coding | C | Runs with offload | 34.3 tok/s | 5649 ms | 21K |
| Agentic Coding | D | Very compromised (needs ~1.8 GB host RAM) | 22.1 tok/s | 12748 ms | 21K |
| Reasoning | C | Runs with offload | 34.3 tok/s | 6676 ms | 21K |
| RAG | D | Very compromised (needs ~1.8 GB host RAM) | 22.1 tok/s | 15935 ms |
How Hermes 4.3 36B (36B params) fits at each quantization level on RTX PRO 4500 Blackwell 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 14.0 GB | Low | C48 |
Q3_K_S | 3 | 17.6 GB | Low | C49 |
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 startUpgrade options
RTX A6000 48GBBudget pickAdds memory headroom for longer context windows and future model growth.
~$4,650 MSRP
RTX PRO 5000 Blackwell 48GBBest valueRaises estimated decode speed by about 50%.
Adds memory headroom for longer context windows and future model growth.
~$4,999 MSRP
NVIDIA L40 48GBNVIDIA upgradeAdds memory headroom for longer context windows and future model growth.
~$5,500 MSRP
Yes, RTX PRO 4500 Blackwell 32GB can run Hermes 4.3 36B with a C grade (Runs with offload). Expected decode speed: 34.3 tok/s.
Hermes 4.3 36B (36B parameters) requires approximately 30.6 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 PRO 4500 Blackwell 32GB, Hermes 4.3 36B achieves approximately 34.3 tokens per second decode speed with a time-to-first-token of 5649ms using Q4_K_M quantization.
For coding workloads, Hermes 4.3 36B on RTX PRO 4500 Blackwell 32GB receives a C grade with 34.3 tok/s and 21K context.
On RTX PRO 4500 Blackwell 32GB, Hermes 4.3 36B can safely use up to 21K 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-pro-4500-blackwell-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| 21K |
20.2 GB |
| Medium |
| C49 |
Q4_K_MBest for your GPU | 4 | 22.0 GB | Medium | C49 |
Q5_K_M | 5 | 25.9 GB | High | F0 |
Q6_K | 6 | 29.5 GB | High | F0 |
Q8_0 | 8 | 38.5 GB | Very High | F0 |
F16 | 16 | 73.8 GB | Maximum | F0 |
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.