Command R 35B needs ~29.9 GB VRAM. MacBook Pro M4 Max 48GB has 34.6 GB. With Q4_K_M quantization, expect ~31 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
30.6 tok/s
TTFT
6328 ms
Safe context
47K
Memory
29.9 GB / 34.6 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 | Tight fit | 30.6 tok/s | 3452 ms | 47K |
| Coding | A | Tight fit | 30.6 tok/s | 6328 ms | 47K |
| Agentic Coding | A | Tight fit | 30.6 tok/s | 9205 ms | 47K |
| Reasoning | A | Tight fit | 30.6 tok/s | 7479 ms | 47K |
| RAG | A | Tight fit | 30.6 tok/s | 11506 ms | 47K |
How Command R 35B (35B params) fits at each quantization level on MacBook Pro M4 Max 48GB (34.6 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.7 GB | Low | A74 |
Q3_K_S | 3 | 17.2 GB | Low | A75 |
NVFP4 | 4 | 19.6 GB | Medium | A75 |
Q4_K_M | 4 | 21.3 GB | Medium | A75 |
Q5_K_MBest for your GPU | 5 | 25.2 GB | High | A75 |
Q6_K | 6 | 28.7 GB | High | F0 |
Q8_0 | 8 | 37.5 GB | Very High | F0 |
F16 | 16 | 71.8 GB | Maximum | F0 |
Copy-paste commands to run Command R 35B on your machine.
Run
ollama run command-rYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Kimi Linear 48B A3B | 48B | A | 19.3 tok/s |
Yes, MacBook Pro M4 Max 48GB can run Command R 35B with a A grade (Tight fit). Expected decode speed: 30.6 tok/s.
Command R 35B (35B parameters) requires approximately 29.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Command R 35B is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Max 48GB, Command R 35B achieves approximately 30.6 tokens per second decode speed with a time-to-first-token of 6328ms using Q4_K_M quantization.
For coding workloads, Command R 35B on MacBook Pro M4 Max 48GB receives a A grade with 30.6 tok/s and 47K context.
On MacBook Pro M4 Max 48GB, Command R 35B can safely use up to 47K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Not always. MacBook Pro M4 Max 48GB 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/command-r-35b-on-m4-max-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: