Cohere
Command R+ 104B (104B parameters) requires approximately 68.4 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 79 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Command R+ 104B on your machine.
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ollama run command-r-plusQuick specs
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Quantization options
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 40.6 GB | Low | — |
Q3_K_S | 3 | 51.0 GB | Low | — |
NVFP4 | 4 | 58.2 GB | Medium | — |
Q4_K_M | 4 | 63.4 GB | Medium | — |
Q5_K_M | 5 | 74.9 GB | High | — |
Q6_K | 6 | 85.3 GB | High | — |
Q8_0 | 8 | 111.3 GB | Very High | — |
F16 | 16 | 213.2 GB | Maximum | — |
Quality benchmarks
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Reasoning
General
Source: official · 2024-04-04
Hardware compatibility
Computing compatibility...
Memory breakdown
Frequently asked questions
Command R+ 104B (104B parameters) requires approximately 68.4 GB of VRAM with Q4_K_M quantization. Lower quantizations like Q4_K_M use less memory but may reduce quality.
Yes, MacBook Pro M3 Max 128GB can run Command R+ 104B with a compatibility score of 62/100. It provides 128 GB of memory and achieves approximately 4.1 tokens per second.
The recommended quantization for Command R+ 104B is Q4_K_M, which offers the best balance between model quality and memory efficiency. Higher quantizations preserve more quality but require more VRAM.
The top recommended hardware for Command R+ 104B: NVIDIA GH200 96GB (score: 73/100), NVIDIA H20 96GB (score: 73/100), AMD Instinct MI300A 128GB (score: 71/100). These provide the best combination of memory, bandwidth, and compute for running this model locally.
Yes, Command R+ 104B is well-suited for chat as well as rag, reasoning. It was designed with these use cases in mind.
See also
