Can I Run SmolLM2 on Mac Studio (M4 Max, 64 GB)?
Written by Jakub Rusinowski · Last updated November 20, 2024
Yes — comfortably
Yes, comfortably — SmolLM2 1.7B Instruct at Q8_0 needs about 4.2 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB), leaving ~43.8 GB spare and running at ~85 tok/s (estimated), with room for about 8,192 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~85 tok/s
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Mac Studio (M4 Max, 64 GB) — what it gives a model
| Usable memory for models | 48 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Desktop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
SmolLM2 on Mac Studio (M4 Max, 64 GB): memory by quantization
| Quant | Memory needed | Fits 48 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 5.8 GB | ✓ Yes | 8K | ~58.4 tok/s | 3.4 GB |
| Q8_0 | 4.2 GB | ✓ Yes | 8K | ~85 tok/s | 1.8 GB |
| Q6_K | 3.8 GB | ✓ Yes | 8K | ~96.4 tok/s | 1.4 GB |
| Q5_K_M | 3.6 GB | ✓ Yes | 8K | ~102.7 tok/s | 1.2 GB |
| Q4_K_M | 3.4 GB | ✓ Yes | 8K | ~109.4 tok/s | 1 GB |
| Q3_K_M | 3.1 GB | ✓ Yes | 8K | ~123.1 tok/s | 0.7 GB |
| Q2_K | 3 GB | ✓ Yes | 8K | ~132.1 tok/s | 0.6 GB |
Which SmolLM2 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| SmolLM2 1.7B Instruct | 3.4 GB | ✓ Fits | ~109.4 tok/s |
| SmolLM2 360M Instruct | 1.4 GB | ✓ Fits | ~233 tok/s |
What to watch out for
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
Mac Studio M4 Max 64 GB limitations
- Memory is soldered; the configuration chosen at purchase is permanent.
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.
- 64 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 computed from this model's published attention configuration.
FAQ
Can I run SmolLM2 on Mac Studio (M4 Max, 64 GB)?
Yes, comfortably — SmolLM2 1.7B Instruct at Q8_0 needs about 4.2 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB), leaving ~43.8 GB spare and running at ~85 tok/s (estimated), with room for about 8,192 tokens of context.
Which quantization of SmolLM2 should I use on Mac Studio (M4 Max, 64 GB)?
Q8_0 — it needs about 4.2 GB of the 48 GB available, downloads as roughly 1.8 GB, and runs at an estimated 85 tokens/sec with up to 8K of context.
What limits SmolLM2 on Mac Studio (M4 Max, 64 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 Mac Studio (M4 Max, 64 GB)
- SmolLM3 on Mac Studio (M4 Max, 64 GB)
- StarCoder 2 on Mac Studio (M4 Max, 64 GB)
- Aya 3B (Tiny Aya) on Mac Studio (M4 Max, 64 GB)
- VibeThinker on Mac Studio (M4 Max, 64 GB)
- Yi 1.5 Family on Mac Studio (M4 Max, 64 GB)
SmolLM2 on GPUs
- SmolLM2 on NVIDIA GeForce RTX 5060 Ti 8GB
- SmolLM2 on NVIDIA GeForce RTX 5060
- SmolLM2 on NVIDIA GeForce RTX 4060