Can I Run DeepSeek-R1-Distill-Qwen-32B on Apple M5?
Written by Jakub Rusinowski · Last updated July 12, 2026
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, but it's tight — DeepSeek R1 Distill Qwen 32B at Q4_K_M needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), leaving ~1.7 GB of the Apple M5's 24 GB usable memory, at ~4 tok/s (est.), with room for up to 8K context.
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Apple M5 Specs
| VRAM | 32 GB unified memory |
| Memory Bandwidth | 153 GB/s |
DeepSeek R1 Distill Qwen 32B on the Apple M5: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 66.9 GB | ✗ No | — | — |
| Q8_0 | 36.9 GB | ✗ No | — | Build for this |
| Q6_K | 29.2 GB | ✗ No | — | — |
| Q5_K_M | 25.6 GB | ✗ No | — | Build for this |
| Q4_K_M | 22.3 GB | ✓ Yes | 8K | Build for this |
| Q3_K_M | 16.6 GB | ✓ Yes | 32K | — |
| Q2_K | 13.5 GB | ✓ Yes | 32K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the Apple M5: 8K 22.3 GB · 32K 28.7 GB ✗ · 128K 54.5 GB ✗. Past 32K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? DeepSeek R1 Distill Qwen 32B on 32 GB of system RAM, CPU only: runs comfortably.
DeepSeek R1 Sizes That Fit the Apple M5 (at 8K context)
| DeepSeek R1 Distill Qwen 32B | Q4_K_M · 22.3 GB at 8K context · ~4 tok/s (est.) |
| DeepSeek R1 Distill Qwen 14B | Q4_K_M · 10.6 GB at 8K context · ~9 tok/s (est.) |
| DeepSeek R1 Distill Llama 8B | Q4_K_M · 6.7 GB at 8K context · ~15 tok/s (est.) |
DeepSeek-R1-Distill-Qwen-32B needs ~22 GB but this GPU has 32 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Can I run DeepSeek R1 on the Apple M5?
Yes, but it's tight — DeepSeek R1 Distill Qwen 32B at Q4_K_M needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), leaving ~1.7 GB of the Apple M5's 24 GB usable memory, at ~4 tok/s (est.), with room for up to 8K context.
What's the best DeepSeek R1 size for the Apple M5?
DeepSeek R1 Distill Qwen 32B at Q4_K_M quantization needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), estimated ~4 tokens/sec, up to 8K context.
Every DeepSeek R1 size on the Apple M5
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| DeepSeek R1 (671B) | 406.5 GB | Does not fit | — |
| DeepSeek R1 Distill Qwen 14B | 10.6 GB | Runs | ~9 tok/s |
| DeepSeek R1 Distill Llama 8B | 6.7 GB | Runs | ~15 tok/s |
DeepSeek R1 on Other GPUs
- DeepSeek R1 on NVIDIA GeForce RTX 5090
- DeepSeek R1 on Apple M4
- DeepSeek R1 on Apple M2 Pro
- DeepSeek R1 on Apple M1 Pro
- DeepSeek R1 on Apple M3 Pro
Popular Models on the Apple M5
VRAM Tier
Troubleshooting
- Ollama: "model requires more system memory than is available"
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
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