Can I Run Qwen 2.5 Family on Apple M1?
作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, but it's tight — Qwen 2.5 14B Instruct at Q4_K_M needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), leaving ~1.1 GB of the Apple M1's 12 GB usable memory, at ~4 tok/s (est.), with room for up to 8K context.
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Apple M1 Specs
| VRAM | 16 GB unified memory |
| Memory Bandwidth | 68 GB/s |
Qwen 2.5 14B Instruct on the Apple M1: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 30.4 GB | ✗ No | — | — |
| Q8_0 | 17.3 GB | ✗ No | — | — |
| Q6_K | 13.9 GB | ✗ No | — | — |
| Q5_K_M | 12.3 GB | ✗ No | — | — |
| Q4_K_M | 10.9 GB | ✓ Yes | 8K | — |
| Q3_K_M | 8.4 GB | ✓ Yes | 16K | — |
| Q2_K | 7 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 16 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 M1: 8K 10.9 GB · 32K 15.7 GB ✗ · 128K 35 GB ✗. Past 32K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Qwen 2.5 14B Instruct on 16 GB of system RAM, CPU only: runs, but it is tight.
Qwen 2.5 Family Sizes That Fit the Apple M1 (at 8K context)
| Qwen 2.5 14B Instruct | Q4_K_M · 10.9 GB at 8K context · ~4 tok/s (est.) |
| Qwen 2.5 7B Instruct | Q4_K_M · 5.9 GB at 8K context · ~8 tok/s (est.) |
Qwen 2.5 Family needs ~11 GB but this GPU has 16 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
Does the Apple M1 have enough VRAM for Qwen 2.5 Family?
Yes, but it's tight — Qwen 2.5 14B Instruct at Q4_K_M needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), leaving ~1.1 GB of the Apple M1's 12 GB usable memory, at ~4 tok/s (est.), with room for up to 8K context.
Which quantization of Qwen 2.5 Family should I use on the Apple M1?
Qwen 2.5 14B Instruct at Q4_K_M quantization needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), estimated ~4 tokens/sec, up to 8K context.
Every Qwen 2.5 Family size on the Apple M1
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 2.5 72B Instruct | 47 GB | Does not fit | — |
| Qwen 2.5 Coder 32B | 22.3 GB | Does not fit | — |
| Qwen 2.5 14B Instruct | 10.9 GB | Runs | ~4 tok/s |
| Qwen 2.5 7B Instruct | 5.9 GB | Runs | ~8 tok/s |
Qwen 2.5 Family on Other GPUs
- Qwen 2.5 Family on NVIDIA GeForce RTX 5080
- Qwen 2.5 Family on NVIDIA GeForce RTX 5070 Ti
- Qwen 2.5 Family on NVIDIA GeForce RTX 5060 Ti 16GB
- Qwen 2.5 Family on NVIDIA GeForce RTX 4080 Super
- Qwen 2.5 Family on NVIDIA GeForce RTX 4080
Popular Models on the Apple M1
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
← Can I Run It? | Qwen 2.5 Family Model Page | Apple M1 GPU Page | VRAM calculator | Check Your Hardware