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text model · Qwen3 · macOS

Can I run Qwen3 235B A22B on Apple M4 Max (64GB)?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

No. Qwen3 235B A22B needs ~136.9 GB even at Q4_K_M, but Apple M4 Max (64GB) only has ~48 GB usable.

Needs ~136.9 GB Device usable ~48 GB

Needs ~136.9 GB even at Q4_K_M, but only ~48 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 88.9 GB: Qwen3 235B A22B needs roughly 136.9 GB at Q4_K_M and Apple M4 Max (64GB) leaves only about 48 GB usable for a model. The lightest tracked hardware that runs Qwen3 235B A22B is the Apple M3 Ultra (256GB) at 256 GB. See Qwen3 235B A22B on Apple M3 Ultra (256GB).

Q4_K_M needed
~136.9 GB
Usable on device
~48 GB
Device memory
64 GB
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Which quant fits

Quant ladder vs ~48 GB usable
Q2_K
~102.9 GB
Q3_K_M
~119.4 GB
Q4_K_M
~136.9 GB
Q5_K_M
~171.9 GB
Q6_K
~197.2 GB
Q8_0
~237.3 GB
FP16
~474.5 GB
The line marks Apple M4 Max (64GB)'s ~48 GB budget; rungs past it are too large.
Model Qwen3
Parameters
235B (MoE, 22B active)
Q4_K_M size
132.39 GB
Q8_0 size
232.77 GB
Context
128k
Ollama tag
qwen3:235b
Full Qwen3 235B A22B requirements →
Device macOS
Memory
64 GB unified
Usable for weights
~48 GB
Power draw
~145 W
Best runtime
MLX direct / Ollama (MLX backend)
Best models for Apple M4 Max (64GB) →

What you can run instead

Run Qwen3 235B A22B on other hardware

FAQ

Can Apple M4 Max (64GB) run Qwen3 235B A22B?

No. Qwen3 235B A22B needs ~136.9 GB even at Q4_K_M, but Apple M4 Max (64GB) only has ~48 GB usable.

How much memory does Qwen3 235B A22B need?

Apple M4 Max (64GB) 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.

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Sources

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.