Raises estimated decode speed by about 33%.
~$4,650 MSRP
Hermes 4.3 36B needs ~34.0 GB VRAM. Mac Studio M1 Ultra 64GB has 46.1 GB. With Q4_K_M quantization, expect ~20 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
20.0 tok/s
TTFT
9662 ms
Safe context
62K
Memory
34.0 GB / 46.1 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 | 20.0 tok/s | 5270 ms | 62K |
| Coding | C | Runs well | 20.0 tok/s | 9662 ms | 62K |
| Agentic Coding | C | Tight fit | 20.0 tok/s | 14054 ms | 62K |
| Reasoning | C | Runs well | 20.0 tok/s | 11419 ms | 62K |
| RAG | C | Tight fit | 20.0 tok/s | 17568 ms | 62K |
How Hermes 4.3 36B (36B params) fits at each quantization level on Mac Studio M1 Ultra 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 14.0 GB | Low | C45 |
Q3_K_S | 3 | 17.6 GB | Low | C46 |
NVFP4 | 4 | 20.2 GB | Medium | C47 |
Q4_K_M | 4 | 22.0 GB | Medium | C47 |
Q5_K_M | 5 | 25.9 GB | High | C48 |
Q6_KBest for your GPU | 6 | 29.5 GB | High | C48 |
Q8_0 | 8 | 38.5 GB | Very High | F0 |
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 startOpções de upgrade
Raises estimated decode speed by about 33%.
~$4,650 MSRP
Raises estimated decode speed by about 157%.
~$4,999 MSRP
Yes, Mac Studio M1 Ultra 64GB can run Hermes 4.3 36B with a C grade (Runs well). Expected decode speed: 20.0 tok/s.
Hermes 4.3 36B (36B parameters) requires approximately 34.0 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 M1 Ultra 64GB, Hermes 4.3 36B achieves approximately 20.0 tokens per second decode speed with a time-to-first-token of 9662ms using Q4_K_M quantization.
For coding workloads, Hermes 4.3 36B on Mac Studio M1 Ultra 64GB receives a C grade with 20.0 tok/s and 62K context.
On Mac Studio M1 Ultra 64GB, Hermes 4.3 36B can safely use up to 62K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Not always. Mac Studio M1 Ultra 64GB 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.
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-m1-ultra-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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