Hermes 4.3 36B needs ~37.4 GB VRAM. MacBook Pro M2 Max 96GB has 69.1 GB. With Q4_K_M quantization, expect ~11 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
10.6 tok/s
TTFT
18325 ms
Safe context
136K
Memory
37.4 GB / 69.1 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 | 10.6 tok/s | 9996 ms | 136K |
| Coding | C | Runs well | 10.6 tok/s | 18325 ms | 136K |
| Agentic Coding | C | Runs well | 10.6 tok/s | 26655 ms | 136K |
| Reasoning | C | Runs well | 10.6 tok/s | 21657 ms | 136K |
| RAG | C | Runs well | 10.6 tok/s | 33319 ms | 136K |
How Hermes 4.3 36B (36B params) fits at each quantization level on MacBook Pro M2 Max 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 14.0 GB | Low | C42 |
Q3_K_S | 3 | 17.6 GB | Low | C42 |
NVFP4 | 4 | 20.2 GB | Medium | C43 |
Q4_K_M | 4 | 22.0 GB | Medium | C43 |
Q5_K_M | 5 | 25.9 GB | High | C44 |
Q6_K | 6 | 29.5 GB | High | C45 |
Q8_0Best for your GPU | 8 | 38.5 GB | Very High | C48 |
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 startOpciones de mejora
Sube la velocidad estimada de decodificación alrededor de un 99%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$3,999 MSRP
Sube la velocidad estimada de decodificación alrededor de un 158%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$4,999 MSRP
Yes, MacBook Pro M2 Max 96GB can run Hermes 4.3 36B with a C grade (Runs well). Expected decode speed: 10.6 tok/s.
Hermes 4.3 36B (36B parameters) requires approximately 37.4 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 MacBook Pro M2 Max 96GB, Hermes 4.3 36B achieves approximately 10.6 tokens per second decode speed with a time-to-first-token of 18325ms using Q4_K_M quantization.
For coding workloads, Hermes 4.3 36B on MacBook Pro M2 Max 96GB receives a C grade with 10.6 tok/s and 136K context.
On MacBook Pro M2 Max 96GB, Hermes 4.3 36B can safely use up to 136K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Not always. MacBook Pro M2 Max 96GB 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-m2-max-96gb" 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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