Command R+ 104B needs ~95.4 GB VRAM. Mac Studio M3 Ultra 256GB has 184.3 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
Runs well
Decode
9.5 tok/s
TTFT
20279 ms
Safe context
131K
Memory
95.4 GB / 184.3 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 | Runs well | 9.5 tok/s | 11061 ms | 131K |
| Coding | B | Runs well | 9.5 tok/s | 20279 ms | 131K |
| Agentic Coding | B | Runs well | 9.5 tok/s | 29497 ms | 131K |
| Reasoning | B | Runs well | 9.5 tok/s | 23966 ms | 131K |
| RAG | B | Runs well | 9.5 tok/s | 36871 ms | 131K |
How Command R+ 104B (104B params) fits at each quantization level on Mac Studio M3 Ultra 256GB (184.3 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 40.6 GB | Low | B58 |
Q3_K_S | 3 | 51.0 GB | Low | B59 |
NVFP4 | 4 | 58.2 GB | Medium | B60 |
Q4_K_M | 4 | 63.4 GB | Medium | B60 |
Q5_K_M | 5 | 74.9 GB | High | B62 |
Q6_K | 6 | 85.3 GB | High | B63 |
Q8_0Best for your GPU | 8 | 111.3 GB | Very High | B65 |
F16 | 16 | 213.2 GB | Maximum | F0 |
Copy-paste commands to run Command R+ 104B on your machine.
Run
ollama run command-r-plusOpções de upgrade
Raises estimated decode speed by about 954%.
Adds memory headroom for longer context windows and future model growth.
~$8,000 MSRP
Raises estimated decode speed by about 646%.
~$15,000 MSRP
Yes, Mac Studio M3 Ultra 256GB can run Command R+ 104B with a B grade (Runs well). Expected decode speed: 9.5 tok/s.
Command R+ 104B (104B parameters) requires approximately 95.4 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 Mac Studio M3 Ultra 256GB, Command R+ 104B achieves approximately 9.5 tokens per second decode speed with a time-to-first-token of 20279ms using Q4_K_M quantization.
For coding workloads, Command R+ 104B on Mac Studio M3 Ultra 256GB receives a B grade with 9.5 tok/s and 131K context.
On Mac Studio M3 Ultra 256GB, Command R+ 104B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Not always. Mac Studio M3 Ultra 256GB 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-m3-ultra-256gb" 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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