Can I Run Aya 3B (Tiny Aya) on MacBook Pro 16" (M4 Max, 128 GB)?
Written by Jakub Rusinowski · Last updated February 17, 2026
Yes — comfortably
Yes, comfortably — Aya 3B at Q8_0 needs about 4.8 GB of the 96 GB usable on MacBook Pro 16" (M4 Max, 128 GB), leaving ~91.2 GB spare and running at ~66.4 tok/s (estimated), with room for about 8,192 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~66.4 tok/s
MacBook Pro 16" (M4 Max, 128 GB) — what it gives a model
| Usable memory for models | 96 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
Aya 3B (Tiny Aya) on MacBook Pro 16" (M4 Max, 128 GB): memory by quantization
| Quant | Memory needed | Fits 96 GB? | Max context | Est. speed | Download |
|---|
| F16 | 7.6 GB | ✓ Yes | 8K | ~40.9 tok/s | 6 GB |
| Q8_0 | 4.8 GB | ✓ Yes | 8K | ~66.4 tok/s | 3.2 GB |
| Q6_K | 4.1 GB | ✓ Yes | 8K | ~79.2 tok/s | 2.5 GB |
| Q5_K_M | 3.8 GB | ✓ Yes | 8K | ~86.9 tok/s | 2.1 GB |
| Q4_K_M | 3.5 GB | ✓ Yes | 8K | ~95.7 tok/s | 1.8 GB |
| Q3_K_M | 2.9 GB | ✓ Yes | 8K | ~115.3 tok/s | 1.3 GB |
| Q2_K | 2.6 GB | ✓ Yes | 8K | ~129.9 tok/s | 1 GB |
What to watch out for
- This model does not publish its full attention configuration, so the KV-cache share of these figures is inferred from its parameter count rather than computed exactly.
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
MacBook Pro M4 Max 128 GB limitations
- Unified memory is soldered — the 128 GB decision is permanent and cannot be upgraded later.
- Sustained decode speed on battery is materially below the plugged-in figures quoted here.
Recommended setup
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 128 GB unified memory at 546 GB/s, shared between CPU and GPU.
- macOS reserves a share of unified memory for the system, so not all of it is available to a model.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is inferred from the parameter count because this model does not publish its full attention configuration.
FAQ
Can I run Aya 3B (Tiny Aya) on MacBook Pro 16" (M4 Max, 128 GB)?
Yes, comfortably — Aya 3B at Q8_0 needs about 4.8 GB of the 96 GB usable on MacBook Pro 16" (M4 Max, 128 GB), leaving ~91.2 GB spare and running at ~66.4 tok/s (estimated), with room for about 8,192 tokens of context.
Which quantization of Aya 3B (Tiny Aya) should I use on MacBook Pro 16" (M4 Max, 128 GB)?
Q8_0 — it needs about 4.8 GB of the 96 GB available, downloads as roughly 3.2 GB, and runs at an estimated 66.4 tokens/sec with up to 8K of context.
What limits Aya 3B (Tiny Aya) on MacBook Pro 16" (M4 Max, 128 GB)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Other Computers
Other Models on MacBook Pro 16" (M4 Max, 128 GB)
Aya 3B (Tiny Aya) on GPUs
What This Model Is Good At
Model & Tools
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