Command R 35B needs ~38.5 GB VRAM. MacBook Pro M4 Max 128GB has 92.2 GB. With Q4_K_M quantization, expect ~16 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
30.6 tok/s
TTFT
6328 ms
Safe context
131K
Memory
38.5 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 | 16.1 tok/s | 6554 ms | 131K |
| Coding | A | Runs well | 16.1 tok/s | 12016 ms | 131K |
| Agentic Coding | A | Runs well | 16.1 tok/s | 17478 ms | 131K |
| Reasoning | A | Runs well | 16.1 tok/s | 14201 ms | 131K |
| RAG | A | Runs well | 16.1 tok/s | 21848 ms | 131K |
How Command R 35B (35B params) fits at each quantization level on MacBook Pro M4 Max 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.7 GB | Low | B66 |
Q3_K_S | 3 | 17.2 GB | Low | B67 |
NVFP4 | 4 |
Copy-paste commands to run Command R 35B on your machine.
Run
ollama run command-rYour 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 Command R 35B with a A grade (Runs well). Expected decode speed: 16.1 tok/s.
Command R 35B (35B parameters) requires approximately 38.5 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 128GB, Command R 35B achieves approximately 16.1 tokens per second decode speed with a time-to-first-token of 12016ms using Q4_K_M quantization.
For coding workloads, Command R 35B on MacBook Pro M4 Max 128GB receives a A grade with 16.1 tok/s and 131K context.
On MacBook Pro M4 Max 128GB, Command R 35B can safely use up to 131K 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/command-r-35b-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:
19.6 GB |
| Medium |
| B67 |
Q4_K_M | 4 | 21.3 GB | Medium | B67 |
Q5_K_M | 5 | 25.2 GB | High | B68 |
Q6_K | 6 | 28.7 GB | High | B69 |
Q8_0 | 8 | 37.5 GB | Very High | A71 |
F16Best for your GPU | 16 | 71.8 GB | Maximum | A74 |
| 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.