Compatibility Check
Can I Run Llama 3.1 70B on Apple M1 Pro (16-core GPU)?
Yes — Apple M1 Pro (16-core GPU) runs Llama 3.1 70B fully on GPU at the Q2_K quantization.
Estimated ~5 tokens/sec on the Q2_K quantization.
Full GPU
Best variant: Q2_K
Full GPU inference — 32 GB VRAM meets the 32 GB recommendation.
- GPU VRAM
- 32 GB
- Min VRAM (best fit)
- 27 GB
- Recommended VRAM
- 32 GB
- Estimated tok/s
- ~5
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Every Llama 3.1 70B quantization on Apple M1 Pro (16-core GPU)
Each row runs the compatibility engine against your VRAM, RAM, and the model's requirements.
| Quantization | File Size | Min VRAM | Rec VRAM | Context | Verdict | Estimated tok/s |
|---|---|---|---|---|---|---|
| Q2_KBest fit | 25 GB | 27 GB | 32 GB | 8K / 128K | Full GPU | ~5 |
| Q3_K_M | 33 GB | 35 GB | 40 GB | 8K / 128K | Hybrid CPU+GPU | ~2 |
| Q4_K_M | 40 GB | 42 GB | 48 GB | 8K / 128K | Hybrid CPU+GPU | ~2 |
| Q5_K_M | 48 GB | 50 GB | 56 GB | 8K / 128K | Hybrid CPU+GPU | ~1 |
| Q8_0 | 74 GB | 76 GB | 80 GB | 8K / 128K | Can't Run | — |
Apple M1 Pro (16-core GPU) is solid pick for Llama 3.1 70B
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