Compatibility Check
Can I Run Nomic Embed Text v1.5 on Apple M1 Pro (10-core GPU)?
Yes — Apple M1 Pro (10-core GPU) runs Nomic Embed Text v1.5 fully on GPU at the FP16 quantization.
Estimated ~740.7 tokens/sec on the FP16 quantization.
Full GPU
Best variant: FP16
Full GPU inference — 32 GB VRAM meets the 1 GB recommendation.
- GPU VRAM
- 32 GB
- Min VRAM (best fit)
- 0.5 GB
- Recommended VRAM
- 1 GB
- Estimated tok/s
- ~740.7
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Every Nomic Embed Text v1.5 quantization on Apple M1 Pro (10-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 |
|---|---|---|---|---|---|---|
| FP16Best fit | 0.27 GB | 0.5 GB | 1 GB | 8K / 8K | Full GPU | ~740.7 |
Apple M1 Pro (10-core GPU) is solid pick for Nomic Embed Text v1.5
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