Can I Run DeepSeek-R1-Distill-Qwen-32B on Mac Studio (M3 Ultra, 256 GB)?
Written by Jakub Rusinowski · Last updated January 20, 2025
These figures are for DeepSeek-R1-Distill-Qwen-32B, a distill of Qwen2.5-32B — not the full DeepSeek R1. The full DeepSeek R1 (671B) needs about 405 GB of weights at Q4_K_M and is a different model.
Yes — comfortably
Yes, comfortably — DeepSeek R1 Distill Qwen 32B at Q8_0 needs about 36.9 GB of the 192 GB usable on Mac Studio (M3 Ultra, 256 GB), leaving ~155.1 GB spare and running at ~12.3 tok/s (estimated), with room for about 131,072 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~12.3 tok/s
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Mac Studio (M3 Ultra, 256 GB) — what it gives a model
| Usable memory for models | 192 GB |
| Memory bandwidth | 819 GB/s |
| Form factor | Desktop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
DeepSeek R1 on Mac Studio (M3 Ultra, 256 GB): memory by quantization
| Quant | Memory needed | Fits 192 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 66.9 GB | ✓ Yes | 128K | ~6.8 tok/s | 64 GB |
| Q8_0 | 36.9 GB | ✓ Yes | 128K | ~12.3 tok/s | 34 GB |
| Q6_K | 29.2 GB | ✓ Yes | 128K | ~15.7 tok/s | 26.2 GB |
| Q5_K_M | 25.6 GB | ✓ Yes | 128K | ~17.9 tok/s | 22.7 GB |
| Q4_K_M | 22.3 GB | ✓ Yes | 128K | ~20.6 tok/s | 19.3 GB |
| Q3_K_M | 16.6 GB | ✓ Yes | 128K | ~28 tok/s | 13.6 GB |
| Q2_K | 13.5 GB | ✓ Yes | 128K | ~34.7 tok/s | 10.5 GB |
Which DeepSeek R1 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| DeepSeek R1 (671B) | 406.5 GB | ✗ Too large | — |
| DeepSeek R1 Distill Qwen 32B | 22.3 GB | ✓ Fits | ~20.6 tok/s |
| DeepSeek R1 Distill Qwen 14B | 10.6 GB | ✓ Fits | ~42.9 tok/s |
| DeepSeek R1 Distill Llama 8B | 6.7 GB | ✓ Fits | ~66.9 tok/s |
What to watch out for
- 1 larger variant of DeepSeek R1 does not fit and would need CPU offload or different hardware.
- 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 M3 Ultra 256 GB limitations
- The largest single-box unified memory pool available, but at roughly half the memory bandwidth of a high-end discrete GPU — very large models load, then run slowly.
- 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.
- 256 GB unified memory at 819 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 DeepSeek R1 on Mac Studio (M3 Ultra, 256 GB)?
Yes, comfortably — DeepSeek R1 Distill Qwen 32B at Q8_0 needs about 36.9 GB of the 192 GB usable on Mac Studio (M3 Ultra, 256 GB), leaving ~155.1 GB spare and running at ~12.3 tok/s (estimated), with room for about 131,072 tokens of context.
Which quantization of DeepSeek R1 should I use on Mac Studio (M3 Ultra, 256 GB)?
Q8_0 — it needs about 36.9 GB of the 192 GB available, downloads as roughly 34 GB, and runs at an estimated 12.3 tokens/sec with up to 128K of context.
What limits DeepSeek R1 on Mac Studio (M3 Ultra, 256 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 Models on Mac Studio (M3 Ultra, 256 GB)
- DeepSeek V4 on Mac Studio (M3 Ultra, 256 GB)
- DeepSeek V4.1 on Mac Studio (M3 Ultra, 256 GB)
- Devstral on Mac Studio (M3 Ultra, 256 GB)
- EXAONE 3.5 on Mac Studio (M3 Ultra, 256 GB)
- Falcon 3 on Mac Studio (M3 Ultra, 256 GB)
DeepSeek R1 on GPUs
- DeepSeek R1 on NVIDIA GeForce RTX 5090
- DeepSeek R1 on NVIDIA GeForce RTX 5080
- DeepSeek R1 on NVIDIA GeForce RTX 5070 Ti
- DeepSeek R1 on NVIDIA GeForce RTX 5070
What This Model Is Good At
Model & Tools
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