Nemotron 70B needs ~62.3 GB VRAM. MacBook Pro M4 Max 128GB has 92.2 GB. With Q4_K_M quantization, expect ~17 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
16.5 tok/s
TTFT
11719 ms
Safe context
114K
Memory
62.3 GB / 92.2 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 | 16.5 tok/s | 6392 ms | 114K |
| Coding | A | Runs well | 16.5 tok/s | 11719 ms | 114K |
| Agentic Coding | A | Runs well | 16.5 tok/s | 17046 ms | 114K |
| Reasoning | A | Runs well | 16.5 tok/s | 13850 ms | 114K |
| RAG | A | Runs well | 16.5 tok/s | 21308 ms | 114K |
How Nemotron 70B (70B params) fits at each quantization level on MacBook Pro M4 Max 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 27.3 GB | Low | B64 |
Q3_K_S | 3 | 34.3 GB | Low | B66 |
NVFP4 | 4 |
Copy-paste commands to run Nemotron 70B on your machine.
Run
ollama run nemotronYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Devstral 2 123B Instruct | 123B | S | 8.2 tok/s | |
 Qwen 3.5 122B A10B | 122B | S |
Yes, MacBook Pro M4 Max 128GB can run Nemotron 70B with a A grade (Runs well). Expected decode speed: 16.5 tok/s.
Nemotron 70B (70B parameters) requires approximately 62.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Nemotron 70B is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Max 128GB, Nemotron 70B achieves approximately 16.5 tokens per second decode speed with a time-to-first-token of 11719ms using Q4_K_M quantization.
For coding workloads, Nemotron 70B on MacBook Pro M4 Max 128GB receives a A grade with 16.5 tok/s and 114K context.
On MacBook Pro M4 Max 128GB, Nemotron 70B can safely use up to 114K tokens of context. The model's official context limit is 131K, 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/nemotron-70b-on-m4-max-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
39.2 GB |
| Medium |
| B67 |
Q4_K_M | 4 | 42.7 GB | Medium | B68 |
Q5_K_M | 5 | 50.4 GB | High | B69 |
Q6_K | 6 | 57.4 GB | High | B69 |
Q8_0Best for your GPU | 8 | 74.9 GB | Very High | B69 |
F16 | 16 | 143.5 GB | Maximum | F0 |
| 21.4 tok/s |
| Mistral Small 4 119B | 119B | S | 22.9 tok/s |
 GPT-OSS 120B | 117B | S | 9.2 tok/s |
 Command A 111B | 111B | S | 9.7 tok/s |
Not always. MacBook Pro M4 Max 128GB 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.