Cohere
Command R 35B (35B parameters) requires approximately 25.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 30 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Command R 35B on your machine.
Run
ollama run command-rQuick specs
About this model
Quick picks
Best hardware
Run this model
Quantization options
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.7 GB | Low | — |
Q3_K_S | 3 | 17.2 GB | Low | — |
NVFP4 | 4 | 19.6 GB | Medium | — |
Q4_K_M | 4 | 21.3 GB | Medium | — |
Q5_K_M | 5 | 25.2 GB | High | — |
Q6_K | 6 | 28.7 GB | High | — |
Q8_0 | 8 | 37.5 GB | Very High | — |
F16 | 16 | 71.8 GB | Maximum | — |
Quality benchmarks
Reasoning
Source: community · 2024-03-11
Hardware compatibility
Computing compatibility...
Memory breakdown
Frequently asked questions
Command R 35B (35B parameters) requires approximately 25.3 GB of VRAM with Q4_K_M quantization. Lower quantizations like Q4_K_M use less memory but may reduce quality.
Yes, Mac mini M4 64GB can run Command R 35B with a compatibility score of 75/100. It provides 64 GB of memory and achieves approximately 7.9 tokens per second.
The recommended quantization for Command R 35B 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 35B: NVIDIA A100 40GB (score: 82/100), RTX PRO 5000 Blackwell 48GB (score: 80/100), MacBook Pro M4 Max 64GB (score: 79/100). These provide the best combination of memory, bandwidth, and compute for running this model locally.
Yes, Command R 35B is well-suited for chat as well as rag. It was designed with these use cases in mind.
See also
