Run Command R+ 2 on M5 Max

Yes — Command R+ 2 (104B) runs at 30 tok/s on M5 Max with 128 GB RAM using Q4_K_M quantization via MLX. First token latency is 1.0s. A capable open-source LLM with 104B parameters.

Speed

tok/s

First Token

1.0

seconds

RAM Needed

128

GB minimum

Engine

MLX

recommended

Benchmark Details

LLMCheck measured Command R+ 2 on M5 Max using the standard methodology: Q4_K_M quantization, 256-token input, 512-token output, 3 runs averaged on a freshly-booted system.

Metric	Value
Tokens per second	30 tok/s
Time to first token	1.0s
Quantization	Q4_K_M
Minimum RAM	128 GB
Recommended engine	MLX
Parameters	104B
Benchmark date	2026-07

Q4_K_M 104B MLX M5 Max

Setup Guide: Run Command R+ 2 on M5 Max

The recommended engine for Command R+ 2 on M5 Max is MLX. Install with pip and pull the model:

pip install mlx-lm

mlx_lm.generate --model mlx-community/command-r-2-q4_k_m --prompt "Hello!"

Alternatively, you can use Ollama for a simpler setup:

ollama run command-r-2

Performance on Other Apple Silicon Chips

Chip	Speed	First Token	Min RAM	Engine
M4 Max	24 tok/s	1.4s	128 GB	MLX

System Requirements

To run Command R+ 2 on M5 Max you need:

• Mac with M5 Max chip (or newer)
• 128 GB unified memory minimum
• macOS 13 Ventura or later
• ~108-128 GB free disk space for the model file
• MLX installed (see our Ollama install guide)

🛒 Get a Mac that runs Command R+ 2

Command R+ 2 needs about 128 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:

MacBook Pro M4 Max (128GB) → Mac Studio M4 Max →

Not sure which Mac fits your budget? See the best Mac for running this →

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