RTX PRO 6000 Blackwell Workstation Edition 96GBBudget pick1792 GB/s (+992)
C
Raises estimated decode speed by about 225%.68.5 tok/s decode
Raises estimated decode speed by about 225%.
~$9,999 MSRP
Hermes 4.3 36B needs ~40.9 GB VRAM. Mac Studio M2 Ultra 128GB has 92.2 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
21.1 tok/s
TTFT
9163 ms
Safe context
210K
Memory
40.9 GB / 92.2 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 21.1 tok/s | 4998 ms | 210K |
| Coding | C | Runs well | 21.1 tok/s | 9163 ms | 210K |
| Agentic Coding | C | Runs well | 21.1 tok/s | 13327 ms | 210K |
| Reasoning | C | Runs well | 21.1 tok/s | 10829 ms | 210K |
| RAG | C | Runs well | 21.1 tok/s | 16659 ms | 210K |
How Hermes 4.3 36B (36B params) fits at each quantization level on Mac Studio M2 Ultra 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 14.0 GB | Low | D40 |
Q3_K_S | 3 | 17.6 GB | Low | C40 |
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 PRO 6000 Blackwell Workstation Edition 96GBBudget pickRaises estimated decode speed by about 225%.
~$9,999 MSRP
RTX PRO 6000 Blackwell Server Edition 96GBBest valueRaises estimated decode speed by about 190%.
~$9,999 MSRP
Yes, Mac Studio M2 Ultra 128GB can run Hermes 4.3 36B with a C grade (Runs well). Expected decode speed: 21.1 tok/s.
Hermes 4.3 36B (36B parameters) requires approximately 40.9 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 Mac Studio M2 Ultra 128GB, Hermes 4.3 36B achieves approximately 21.1 tokens per second decode speed with a time-to-first-token of 9163ms using Q4_K_M quantization.
For coding workloads, Hermes 4.3 36B on Mac Studio M2 Ultra 128GB receives a C grade with 21.1 tok/s and 210K context.
On Mac Studio M2 Ultra 128GB, Hermes 4.3 36B can safely use up to 210K 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-m2-ultra-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
20.2 GB |
| Medium |
| C41 |
Q4_K_M | 4 | 22.0 GB | Medium | C41 |
Q5_K_M | 5 | 25.9 GB | High | C42 |
Q6_K | 6 | 29.5 GB | High | C42 |
Q8_0 | 8 | 38.5 GB | Very High | C44 |
F16Best for your GPU | 16 | 73.8 GB | Maximum | C48 |
Not always. Mac Studio M2 Ultra 128GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.