Raises estimated decode speed by about 88%.
~$4,999 MSRP
![]() |
VOOZH | about |
Hermes 4.3 36B needs ~34.0 GB VRAM. MacBook Pro M4 Max 64GB has 46.1 GB. With Q4_K_M quantization, expect ~27 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
27.3 tok/s
TTFT
7079 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 | 27.3 tok/s | 3861 ms | 62K |
| Coding | C | Runs well | 27.3 tok/s | 7079 ms | 62K |
| Agentic Coding | C | Tight fit | 27.3 tok/s | 10296 ms | 62K |
| Reasoning | C | Runs well | 27.3 tok/s | 8366 ms | 62K |
| RAG | C | Tight fit | 27.3 tok/s | 12871 ms | 62K |
How Hermes 4.3 36B (36B params) fits at each quantization level on MacBook Pro M4 Max 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 startUpgrade options