Cohere
Command A 111B (111B parameters) requires approximately 73.1 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 85 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Command A 111B on your machine.
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ollama run command-aQuick specs
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Quantization options
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 43.3 GB | Low | — |
Q3_K_S | 3 | 54.4 GB | Low | — |
NVFP4 | 4 | 62.2 GB | Medium | — |
Q4_K_M | 4 | 67.7 GB | Medium | — |
Q5_K_M | 5 | 79.9 GB | High | — |
Q6_K | 6 | 91.0 GB | High | — |
Q8_0 | 8 | 118.8 GB | Very High | — |
F16 | 16 | 227.6 GB | Maximum | — |
Quality benchmarks
Reasoning
Source: official · 2025-03-27
Hardware compatibility
Computing compatibility...
Memory breakdown
Frequently asked questions
Command A 111B (111B parameters) requires approximately 73.1 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 A 111B with a compatibility score of 85/100. It provides 128 GB of memory and achieves approximately 3.9 tokens per second.
The recommended quantization for Command A 111B 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 A 111B: AMD Instinct MI300A 128GB (score: 95/100), NVIDIA H200 141GB (score: 94/100), NVIDIA H200 PCIe 141GB (score: 94/100). These provide the best combination of memory, bandwidth, and compute for running this model locally.
Yes, Command A 111B is well-suited for chat as well as rag, reasoning, code. It was designed with these use cases in mind.
See also