Raises estimated decode speed by about 872%.
Adds memory headroom for longer context windows and future model growth.
~$8,000 MSRP
Command R+ 104B needs ~81.6 GB VRAM. MacBook Pro M4 Max 128GB has 92.2 GB. With Q4_K_M quantization, expect ~10 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
10.3 tok/s
TTFT
18805 ms
Safe context
66K
Memory
81.6 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 | B | Tight fit | 10.3 tok/s | 10257 ms | 66K |
| Coding | B | Tight fit | 10.3 tok/s | 18805 ms | 66K |
| Agentic Coding | B | Tight fit | 10.3 tok/s | 27352 ms | 66K |
| Reasoning | B | Tight fit | 10.3 tok/s | 22224 ms | 66K |
| RAG | B | Tight fit | 10.3 tok/s | 34190 ms | 66K |
How Command R+ 104B (104B params) fits at each quantization level on MacBook Pro M4 Max 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 40.6 GB | Low | B63 |
Q3_K_S | 3 | 51.0 GB | Low | B65 |
NVFP4 | 4 | 58.2 GB | Medium | B65 |
Q4_K_M | 4 | 63.4 GB | Medium | B65 |
Q5_K_MBest for your GPU | 5 | 74.9 GB | High | B65 |
Q6_K | 6 | 85.3 GB | High | F0 |
Q8_0 | 8 | 111.3 GB | Very High | F0 |
F16 | 16 | 213.2 GB | Maximum | F0 |
Copy-paste commands to run Command R+ 104B on your machine.
Run
ollama run command-r-plusUpgrade options
Raises estimated decode speed by about 872%.
Adds memory headroom for longer context windows and future model growth.
~$8,000 MSRP
Raises estimated decode speed by about 150%.
~$9,999 MSRP
Yes, MacBook Pro M4 Max 128GB can run Command R+ 104B with a B grade (Tight fit). Expected decode speed: 10.3 tok/s.
Command R+ 104B (104B parameters) requires approximately 81.6 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 128GB, Command R+ 104B achieves approximately 10.3 tokens per second decode speed with a time-to-first-token of 18805ms using Q4_K_M quantization.
For coding workloads, Command R+ 104B on MacBook Pro M4 Max 128GB receives a B grade with 10.3 tok/s and 66K context.
On MacBook Pro M4 Max 128GB, Command R+ 104B can safely use up to 66K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
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.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/command-r-plus-104b-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>
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