Command R+ 104B needs ~72.9 GB but MacBook Pro M4 Max 48GB only has 34.6 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
38.3 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
4.6 tok/s
TTFT
41788 ms
Safe context
4K
Memory
72.9 GB / 34.6 GB
Offload
50%
Usable shared or unified memory is the main blocker for this model.
Not enough usable memory
The model needs 72.9 GB, but this setup only exposes 34.6 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 | 4.6 tok/s | 22793 ms | 4K |
| Coding | F | Too heavy | 4.6 tok/s | 41788 ms | 4K |
| Agentic Coding | F | Too heavy | 4.6 tok/s | 60782 ms | 4K |
| Reasoning | F | Too heavy | 4.6 tok/s | 49386 ms | 4K |
| RAG | F | Too heavy | 4.6 tok/s | 75978 ms | 4K |
How Command R+ 104B (104B params) fits at each quantization level on MacBook Pro M4 Max 48GB (34.6 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 |
Opciones de mejora
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$2,499 MSRP
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Sube la velocidad estimada de decodificación alrededor de un 85%.
~$2,499 MSRP
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$3,199 MSRP
NVIDIA GH200 96GBMayor saltoHace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$30,000 MSRP
No, Command R+ 104B requires more memory than MacBook Pro M4 Max 48GB provides.
Command R+ 104B (104B parameters) requires approximately 72.9 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 48GB, Command R+ 104B achieves approximately 4.6 tokens per second decode speed with a time-to-first-token of 41788ms using Q4_K_M quantization.
For coding workloads, Command R+ 104B on MacBook Pro M4 Max 48GB receives a F grade with 4.6 tok/s and 4K context.
On MacBook Pro M4 Max 48GB, 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 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.
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<iframe src="https://willitrunai.com/embed/command-r-plus-104b-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>
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