text model · Command · macOS
Can I run Command A on Apple M4 (24GB)?
No. Command A needs ~70.4 GB even at Q4_K_M, but Apple M4 (24GB) only has ~16 GB usable.
Needs ~70.4 GB even at Q4_K_M, but only ~16 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 54.4 GB: Command A needs roughly 70.4 GB at Q4_K_M and Apple M4 (24GB) leaves only about 16 GB usable for a model. The lightest tracked hardware that runs Command A is the Apple M4 Max (128GB) at 128 GB. See Command A on Apple M4 Max (128GB).
- Q4_K_M needed
- ~70.4 GB
- Usable on device
- ~16 GB
- Device memory
- 24 GB
Which quant fits
- Parameters
- 111B
- Q4_K_M size
- 67.1 GB
- Q8_0 size
- 118 GB
- Context
- 256k
- Ollama tag
- command-a:111b
- Memory
- 24 GB unified
- Usable for weights
- ~16 GB
- Power draw
- ~65 W
- Best runtime
- Ollama (MLX backend, preview) / MLX direct
What you can run instead
Run Command A on other hardware
FAQ
Can Apple M4 (24GB) run Command A?
No. Command A needs ~70.4 GB even at Q4_K_M, but Apple M4 (24GB) only has ~16 GB usable.
How much memory does Command A need?
Apple M4 (24GB) does not have enough memory. At Q4_K_M the weights are ~67.1 GB; with KV cache and runtime overhead, budget ~70.4 GB at a 4k context.
What is the best tool to run Command A on macOS?
LM Studio for a simple setup; mlx-lm for the most speed. vLLM is NOT a Mac tool, it is a CUDA/Linux serving engine. Unified memory is not a fixed VRAM slice; ~70% is usable for weights.
Embed this
[](https://localmodel.run/can-i-run/command-a-111b/apple-m4-24gb) Sources
- aider.chat
- apple.com
- developer.apple.com
- github.com/ml-explore
- github.com/raullenchai
- gorilla.cs.berkeley.edu
- huggingface.co/api
- huggingface.co/bartowski
- huggingface.co/CohereLabs
- huggingface.co/lmstudio-community
- lmstudio.ai
- ollama.com
- stencel.io
- support.apple.com/en-us/103253
- support.apple.com/en-us/121555
- support.apple.com/en-us/122209
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.