Compatibility Check
Can I Run DeepSeek Coder V2 Lite 16B on Apple M1 Pro (16-core GPU)?
Yes — Apple M1 Pro (16-core GPU) runs DeepSeek Coder V2 Lite 16B fully on GPU at the Q4_K_M quantization.
Estimated ~16.8 tokens/sec on the Q4_K_M quantization.
Full GPU
Best variant: Q4_K_M
Full GPU inference — 32 GB VRAM meets the 16 GB recommendation.
- GPU VRAM
- 32 GB
- Min VRAM (best fit)
- 11 GB
- Recommended VRAM
- 16 GB
- Estimated tok/s
- ~16.8
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Every DeepSeek Coder V2 Lite 16B 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_MBest fit | 9.5 GB | 11 GB | 16 GB | 8K / 128K | Full GPU | ~16.8 |
Apple M1 Pro (16-core GPU) is solid pick for DeepSeek Coder V2 Lite 16B
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