Can I Run Yi 1.5 Family on Apple M2 Pro?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, but it's tight — Yi 1.5 34B Chat at Q4_K_M needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), leaving ~0.4 GB of the Apple M2 Pro's 24 GB usable memory, at ~5 tok/s (est.), with room for up to 8K context.
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Apple M2 Pro Specs
| VRAM | 32 GB unified memory |
| Memory Bandwidth | 200 GB/s |
Yi 1.5 34B Chat on the Apple M2 Pro: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 71.6 GB | ✗ No | — | — |
| Q8_0 | 39.4 GB | ✗ No | — | — |
| Q6_K | 31 GB | ✗ No | — | — |
| Q5_K_M | 27.2 GB | ✗ No | — | — |
| Q4_K_M | 23.6 GB | ✓ Yes | 8K | — |
| Q3_K_M | 17.5 GB | ✓ Yes | 16K | — |
| Q2_K | 14.1 GB | ✓ Yes | 16K | — |
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 M2 Pro: 8K 23.6 GB · 31K 29.4 GB ✗. Past 31K 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? Yi 1.5 34B Chat on 32 GB of system RAM, CPU only: runs comfortably.
Yi 1.5 Family Sizes That Fit the Apple M2 Pro (at 8K context)
| Yi 1.5 34B Chat | Q4_K_M · 23.6 GB at 8K context · ~5 tok/s (est.) |
| Yi 1.5 9B Chat | Q4_K_M · 6.9 GB at 8K context · ~18 tok/s (est.) |
Yi 1.5 Family needs ~24 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
Yi 1.5 Family on the Apple M2 Pro — does it fit?
Yes, but it's tight — Yi 1.5 34B Chat at Q4_K_M needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), leaving ~0.4 GB of the Apple M2 Pro's 24 GB usable memory, at ~5 tok/s (est.), with room for up to 8K context.
Which Yi 1.5 Family variant fits best on the Apple M2 Pro?
Yi 1.5 34B Chat at Q4_K_M quantization needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), estimated ~5 tokens/sec, up to 8K context.
Every Yi 1.5 Family size on the Apple M2 Pro
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Yi 1.5 34B Chat | 23.6 GB | Runs | ~5 tok/s |
| Yi 1.5 9B Chat | 6.9 GB | Runs | ~18 tok/s |
Yi 1.5 Family on Other GPUs
- Yi 1.5 Family on NVIDIA GeForce RTX 5090
- Yi 1.5 Family on Apple M4
- Yi 1.5 Family on Apple M1 Pro
- Yi 1.5 Family on Apple M5
- Yi 1.5 Family on Apple M3 Pro
Popular Models on the Apple M2 Pro
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? | Yi 1.5 Family Model Page | Apple M2 Pro GPU Page | VRAM calculator | Check Your Hardware