Apple M4 (10-core GPU, 24GB) × DeepSeek R1 Distill Qwen 32B
Can the Apple M4 (10-core GPU, 24GB) run DeepSeek R1 Distill Qwen 32B?
No
No. DeepSeek R1 Distill Qwen 32B needs at least ~19.4 GB, but the Apple M4 (10-core GPU, 24GB) has ~18.0 GB usable. You would need CPU offloading (much slower) or more memory.
By quantization (8K context)
| Quant | Memory needed | Fits? | Est. tok/s |
|---|---|---|---|
| Q3_K_M | 19.4 GB | ❌ | — |
| Q4_K_M | 23.4 GB | ❌ | — |
| Q5_K_M | 27.0 GB | ❌ | — |
| Q6_K | 30.8 GB | ❌ | — |
| Q8_0 | 38.8 GB | ❌ | — |
| F16 | 70.5 GB | ❌ | — |
Fastest hardware for DeepSeek R1 Distill Qwen 32B
- NVIDIA GeForce RTX 5090 — ~55.7 tok/s at Q4_K_M
- NVIDIA GeForce RTX 4090 — ~35.8 tok/s at Q4_K_M
- AMD Radeon RX 7900 XTX — ~35.4 tok/s at Q4_K_M
- NVIDIA GeForce RTX 3090 Ti — ~32.9 tok/s at Q4_K_M
- NVIDIA GeForce RTX 3090 — ~30.4 tok/s at Q4_K_M
Rent a GPU instead
DeepSeek R1 Distill Qwen 32B doesn't fit here? Rent a cloud GPU with enough VRAM by the hour and run it there.
Vast.ai — cheap marketplace GPUs · RunPod — on-demand GPU pods
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