text model · Qwen3 · macOS
Can I run Qwen3 235B A22B on Apple M4 Pro (48GB)?
No. Qwen3 235B A22B needs ~136.9 GB even at Q4_K_M, but Apple M4 Pro (48GB) only has ~32 GB usable.
Needs ~136.9 GB even at Q4_K_M, but only ~32 GB is usable.
- Q4_K_M needed
- ~136.9 GB
- Usable on device
- ~32 GB
- Device memory
- 48 GB
- Parameters
- 235B (MoE, 22B active)
- Q4_K_M size
- 132.39 GB
- Context
- 128k
- Ollama tag
- qwen3:235b
- Memory
- 48 GB unified
- Usable for weights
- ~32 GB
- Best runtime
- Ollama (MLX backend) / MLX direct
What you can run instead
Run Qwen3 235B A22B on other hardware
FAQ
Can Apple M4 Pro (48GB) run Qwen3 235B A22B?
No. Qwen3 235B A22B needs ~136.9 GB even at Q4_K_M, but Apple M4 Pro (48GB) only has ~32 GB usable.
How much memory does Qwen3 235B A22B need?
Apple M4 Pro (48GB) does not have enough memory. At Q4_K_M the weights are ~132.39 GB; with KV cache and runtime overhead, budget ~136.9 GB at a 4k context. It is a Mixture-of-Experts model (235B total / 22B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Qwen3 235B A22B 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.
Sources
Memory figures are estimates. See methodology.