Budget Pick
Apple M1 Max64 GB VRAM · ~5.7 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonCompatibility Check
Can I Run Command R+ 104B?
Command R+ 104B is a 104B parameter model from the Command family. Check if your hardware can handle it.
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Social proof
9% of 1,577 scanned PCs run Command R+ 104B fully on GPU.
571 keep at least some work on GPU. Based on anonymous compatibility checks.
Full GPU
136Hybrid CPU+GPU
435CPU Only
160Can't Run
846Test Your Hardware
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Hardware Requirements
Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q3_K_MEasiest | 48 GB | 50 GB | 56 GB | 56 GB | 4K / 128K |
| Q4_K_M | 60 GB | 62 GB | 72 GB | 72 GB | 4K / 128K |
Not sure your GPU has enough VRAM? Compare GPUs that can run Command R+ 104B.
Recommended GPUs for Command R+ 104B
These GPUs meet the recommended 56 GB VRAM for the Q3_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Fastest Pick
Apple M4 Ultra256 GB VRAM · ~15.7 tok/s
Highest estimated throughput
Check price on AmazonBest Value
Apple M1 Ultra128 GB VRAM · ~11.5 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Command R+ 104B.
Strong OpenClaw Model Candidate
Command R+ 104B is a common OpenClaw pick for local agent workflows. Use this model with Ollama, llama.cpp, or LM Studio, then confirm full OpenClaw hardware compatibility.
Why choose Command R+ 104B?
General-purpose local model brief
- • Pilot testing with your own tasks
- • Controlled local experiments
Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.