MacBook Pro M3 Pro 36GBBudget pick
36 GB Unified (+4)150 GB/s (+30)
C
Raises estimated decode speed by about 45%.16.8 tok/s decode
Raises estimated decode speed by about 45%.
~$1,999 MSRP
Nous Hermes 2 SOLAR 10.7B needs ~12.1 GB VRAM. Mac mini M4 32GB has 23.0 GB. With Q4_K_M quantization, expect ~13 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
11.6 tok/s
TTFT
16620 ms
Safe context
155K
Memory
12.1 GB / 23.0 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 | 11.6 tok/s | 9065 ms | 155K |
| Coding | C | Runs well | 13.2 tok/s | 14625 ms | 155K |
| Agentic Coding | C | Runs well | 11.6 tok/s | 24174 ms | 155K |
| Reasoning | C | Runs well | 11.6 tok/s | 19641 ms | 155K |
| RAG | C | Runs well | 11.6 tok/s | 30218 ms | 155K |
How Nous Hermes 2 SOLAR 10.7B (10.699999809265137B params) fits at each quantization level on Mac mini M4 32GB (23.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.2 GB | Low | C45 |
Q3_K_S | 3 | 5.2 GB | Low | C46 |
NVFP4 | 4 |
Copy-paste commands to run Nous Hermes 2 SOLAR 10.7B on your machine.
Run
lms load hf-thebloke--nous-hermes-2-solar-10-7b-gguf && lms server startUpgrade options
Raises estimated decode speed by about 45%.
~$1,999 MSRP
Raises estimated decode speed by about 241%.
~$2,499 MSRP
Raises estimated decode speed by about 513%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Yes, Mac mini M4 32GB can run Nous Hermes 2 SOLAR 10.7B with a C grade (Runs well). Expected decode speed: 13.2 tok/s.
Nous Hermes 2 SOLAR 10.7B (10.699999809265137B parameters) requires approximately 12.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Nous Hermes 2 SOLAR 10.7B is Q4_K_M, which balances quality and memory efficiency.
On Mac mini M4 32GB, Nous Hermes 2 SOLAR 10.7B achieves approximately 13.2 tokens per second decode speed with a time-to-first-token of 14625ms using Q4_K_M quantization.
For coding workloads, Nous Hermes 2 SOLAR 10.7B on Mac mini M4 32GB receives a C grade with 13.2 tok/s and 155K context.
On Mac mini M4 32GB, Nous Hermes 2 SOLAR 10.7B can safely use up to 155K 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-thebloke--nous-hermes-2-solar-10-7b-gguf-on-m4-mini-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
6.0 GB |
| Medium |
| C46 |
Q4_K_M | 4 | 6.5 GB | Medium | C47 |
Q5_K_M | 5 | 7.7 GB | High | C47 |
Q6_K | 6 | 8.8 GB | High | C48 |
Q8_0Best for your GPU | 8 | 11.4 GB | Very High | C50 |
F16 | 16 | 21.9 GB | Maximum | F0 |
Not always. Mac mini M4 32GB 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.