Command R 35B needs ~27.9 GB VRAM. RTX 5000 Ada 32GB has 32.0 GB. With Q4_K_M quantization, expect ~24 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
23.5 tok/s
TTFT
8248 ms
Safe context
43K
Memory
27.9 GB / 32.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Tight fit | 23.5 tok/s | 4499 ms | 43K |
| Coding | A | Tight fit | 23.5 tok/s | 8248 ms | 43K |
| Agentic Coding | A | Tight fit | 23.5 tok/s | 11997 ms | 43K |
| Reasoning | A | Tight fit | 23.5 tok/s | 9748 ms | 43K |
| RAG | A | Tight fit | 23.5 tok/s | 14997 ms | 43K |
How Command R 35B (35B params) fits at each quantization level on RTX 5000 Ada 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.7 GB | Low | A75 |
Q3_K_S | 3 | 17.2 GB | Low | A76 |
NVFP4 | 4 | 19.6 GB | Medium | A75 |
Q4_K_M | 4 | 21.3 GB | Medium | A75 |
Q5_K_MBest for your GPU | 5 | 25.2 GB | High | A75 |
Q6_K | 6 | 28.7 GB | High | F0 |
Q8_0 | 8 | 37.5 GB | Very High | F0 |
F16 | 16 | 71.8 GB | Maximum | F0 |
Copy-paste commands to run Command R 35B on your machine.
Run
ollama run command-rYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Kimi Linear 48B A3B | 48B | B | 10.2 tok/s |
Yes, RTX 5000 Ada 32GB can run Command R 35B with a A grade (Tight fit). Expected decode speed: 23.5 tok/s.
Command R 35B (35B parameters) requires approximately 27.9 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 RTX 5000 Ada 32GB, Command R 35B achieves approximately 23.5 tokens per second decode speed with a time-to-first-token of 8248ms using Q4_K_M quantization.
For coding workloads, Command R 35B on RTX 5000 Ada 32GB receives a A grade with 23.5 tok/s and 43K context.
On RTX 5000 Ada 32GB, Command R 35B can safely use up to 43K 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-rtx-5000-ada-32gb" 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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