Compatibility Check
Can I Run Llama 3.2 1B on Apple M1 Pro (16-core GPU)?
Yes — Apple M1 Pro (16-core GPU) runs Llama 3.2 1B fully on GPU at the FP16 quantization.
Estimated ~80 tokens/sec on the FP16 quantization.
Full GPU
Best variant: FP16
Full GPU inference — 32 GB VRAM meets the 6 GB recommendation.
- GPU VRAM
- 32 GB
- Min VRAM (best fit)
- 3.5 GB
- Recommended VRAM
- 6 GB
- Estimated tok/s
- ~80
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Every Llama 3.2 1B 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 |
|---|---|---|---|---|---|---|
| Q4_K_M | 0.75 GB | 1.5 GB | 2 GB | 8K / 128K | Full GPU | ~213.3 |
| Q8_0 | 1.3 GB | 2 GB | 4 GB | 8K / 128K | Full GPU | ~146.5 |
| FP16Best fit | 2.5 GB | 3.5 GB | 6 GB | 8K / 128K | Full GPU | ~80 |
Apple M1 Pro (16-core GPU) is solid pick for Llama 3.2 1B
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