Can I Run SmolLM2 on Mac Studio (M2 Ultra, 192 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 144 GB usable on Mac Studio (M2 Ultra, 192 GB), leaving ~139.8 GB spare and running at ~111.4 tok/s (estimated), with room for about 8,192 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~111.4 tok/s
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Mac Studio (M2 Ultra, 192 GB) — what it gives a model
| Usable memory for models | 144 GB |
| Memory bandwidth | 800 GB/s |
| Form factor | Desktop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
SmolLM2 on Mac Studio (M2 Ultra, 192 GB): memory by quantization
| Quant | Memory needed | Fits 144 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 5.8 GB | ✓ Yes | 8K | ~79.1 tok/s | 3.4 GB |
| Q8_0 | 4.2 GB | ✓ Yes | 8K | ~111.4 tok/s | 1.8 GB |
| Q6_K | 3.8 GB | ✓ Yes | 8K | ~124.5 tok/s | 1.4 GB |
| Q5_K_M | 3.6 GB | ✓ Yes | 8K | ~131.6 tok/s | 1.2 GB |
| Q4_K_M | 3.4 GB | ✓ Yes | 8K | ~139.1 tok/s | 1 GB |
| Q3_K_M | 3.1 GB | ✓ Yes | 8K | ~153.9 tok/s | 0.7 GB |
| Q2_K | 3 GB | ✓ Yes | 8K | ~163.4 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 | ~139.1 tok/s |
| SmolLM2 360M Instruct | 1.4 GB | ✓ Fits | ~257.7 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 M2 Ultra 192 GB limitations
- Superseded by the M3 Ultra, which is why it is often the better used buy for large-model work.
- 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.
- 192 GB unified memory at 800 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 (M2 Ultra, 192 GB)?
Yes, comfortably — SmolLM2 1.7B Instruct at Q8_0 needs about 4.2 GB of the 144 GB usable on Mac Studio (M2 Ultra, 192 GB), leaving ~139.8 GB spare and running at ~111.4 tok/s (estimated), with room for about 8,192 tokens of context.
Which quantization of SmolLM2 should I use on Mac Studio (M2 Ultra, 192 GB)?
Q8_0 — it needs about 4.2 GB of the 144 GB available, downloads as roughly 1.8 GB, and runs at an estimated 111.4 tokens/sec with up to 8K of context.
What limits SmolLM2 on Mac Studio (M2 Ultra, 192 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 (M2 Ultra, 192 GB)
- SmolLM3 on Mac Studio (M2 Ultra, 192 GB)
- StarCoder 2 on Mac Studio (M2 Ultra, 192 GB)
- Aya 3B (Tiny Aya) on Mac Studio (M2 Ultra, 192 GB)
- VibeThinker on Mac Studio (M2 Ultra, 192 GB)
- Yi 1.5 Family on Mac Studio (M2 Ultra, 192 GB)
SmolLM2 on GPUs
- SmolLM2 on NVIDIA GeForce RTX 5060 Ti 8GB
- SmolLM2 on NVIDIA GeForce RTX 5060
- SmolLM2 on NVIDIA GeForce RTX 4060