Command R+ 104B needs ~71.6 GB but MacBook Pro M4 Max 36GB only has 25.9 GB. Try a smaller quantization or lighter model.
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
45.7 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
3.7 tok/s
TTFT
52407 ms
Safe context
4K
Memory
71.6 GB / 25.9 GB
Offload
60%
Usable shared or unified memory is the main blocker for this model.
Not enough usable memory
The model needs 71.6 GB, but this setup only exposes 25.9 GB of usable shared or unified memory.
Move to a larger memory pool
A larger unified-memory SKU or a discrete high-bandwidth GPU is the cleanest way to make this model practical.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | F | Too heavy | 3.7 tok/s | 28586 ms | 4K |
| Coding | F | Too heavy | 3.7 tok/s | 52407 ms | 4K |
| Agentic Coding | F | Too heavy | 3.7 tok/s | 76229 ms | 4K |
| Reasoning | F | Too heavy | 3.7 tok/s | 61936 ms | 4K |
| RAG | F | Too heavy | 3.7 tok/s | 95286 ms | 4K |
How Command R+ 104B (104B params) fits at each quantization level on MacBook Pro M4 Max 36GB (25.9 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 40.6 GB | Low | F0 |
Q3_K_S | 3 | 51.0 GB | Low | F0 |
NVFP4 | 4 | 58.2 GB | Medium | F0 |
Q4_K_M | 4 | 63.4 GB | Medium | F0 |
Q5_K_M | 5 | 74.9 GB | High | F0 |
Q6_K | 6 | 85.3 GB | High | F0 |
Q8_0 | 8 | 111.3 GB | Very High | F0 |
F16 | 16 | 213.2 GB | Maximum | F0 |
Upgrade options
Makes the model fit on the accelerator instead of staying completely out of reach.
Removes host-memory offload, which is usually the single biggest latency and throughput win.
~$2,499 MSRP
Makes the model fit on the accelerator instead of staying completely out of reach.
Raises estimated decode speed by about 130%.
~$2,499 MSRP
Makes the model fit on the accelerator instead of staying completely out of reach.
Adds memory headroom for longer context windows and future model growth.
~$3,199 MSRP
NVIDIA GH200 96GBBiggest leapMakes the model fit on the accelerator instead of staying completely out of reach.
Removes host-memory offload, which is usually the single biggest latency and throughput win.
~$30,000 MSRP
No, Command R+ 104B requires more memory than MacBook Pro M4 Max 36GB provides.
Command R+ 104B (104B parameters) requires approximately 71.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Command R+ 104B is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Max 36GB, Command R+ 104B achieves approximately 3.7 tokens per second decode speed with a time-to-first-token of 52407ms using Q4_K_M quantization.
For coding workloads, Command R+ 104B on MacBook Pro M4 Max 36GB receives a F grade with 3.7 tok/s and 4K context.
On MacBook Pro M4 Max 36GB, Command R+ 104B can safely use up to 4K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Move to a larger memory pool. A larger unified-memory SKU or a discrete high-bandwidth GPU is the cleanest way to make this model practical.
Not always. MacBook Pro M4 Max 36GB 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.
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<iframe src="https://willitrunai.com/embed/command-r-plus-104b-on-m4-max-36gb" 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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