Nous Hermes 1.0 needs ~22.5 GB VRAM. MacBook Pro M3 Pro 36GB has 25.9 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
Tight fit
Decode
19.9 tok/s
TTFT
9707 ms
Safe context
16K
Memory
22.5 GB / 25.9 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 | A | Runs well | 19.9 tok/s | 5294 ms | 16K |
| Coding | B | Tight fit | 19.9 tok/s | 9707 ms | 16K |
| Agentic Coding | F | Too heavy | 13.3 tok/s | 21164 ms | 16K |
| Reasoning | B | Tight fit | 19.9 tok/s | 11471 ms | 16K |
| RAG | F | Too heavy | 13.3 tok/s | 26455 ms | 16K |
How Nous Hermes 1.0 (9B params) fits at each quantization level on MacBook Pro M3 Pro 36GB (25.9 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B65 |
Q3_K_S | 3 | 4.4 GB | Low | B65 |
NVFP4 | 4 | 5.0 GB | Medium | B66 |
Q4_K_M | 4 | 5.5 GB | Medium | B66 |
Q5_K_M | 5 | 6.5 GB | High | B66 |
Q6_K | 6 | 7.4 GB | High | B67 |
Q8_0 | 8 | 9.6 GB | Very High | B68 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | A70 |
Copy-paste commands to run Nous Hermes 1.0 on your machine.
Run
lms load Nous-Hermes-1.0 && lms server start升级选项
Raises estimated decode speed by about 77%.
Adds memory headroom for longer context windows and future model growth.
~$1,599 MSRP
Raises estimated decode speed by about 243%.
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Raises estimated decode speed by about 120%.
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Yes, MacBook Pro M3 Pro 36GB can run Nous Hermes 1.0 with a B grade (Tight fit). Expected decode speed: 19.9 tok/s.
Nous Hermes 1.0 (9B parameters) requires approximately 22.5 GB of memory with Q4_K_M quantization.
The recommended quantization for Nous Hermes 1.0 is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M3 Pro 36GB, Nous Hermes 1.0 achieves approximately 19.9 tokens per second decode speed with a time-to-first-token of 9707ms using Q4_K_M quantization.
For coding workloads, Nous Hermes 1.0 on MacBook Pro M3 Pro 36GB receives a B grade with 19.9 tok/s and 16K context.
On MacBook Pro M3 Pro 36GB, Nous Hermes 1.0 can safely use up to 16K tokens of context. The model's official context limit is 16K, but available memory constrains the safe maximum.
Not always. MacBook Pro M3 Pro 36GB 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/nous-hermes-1.0-on-m3-pro-36gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: