Compatibility Check
Can I Run InternLM 2.5 7B on Apple M1 Pro (16-core GPU)?
Yes — Apple M1 Pro (16-core GPU) runs InternLM 2.5 7B fully on GPU at the Q4_K_M quantization.
Estimated ~34 tokens/sec on the Q4_K_M quantization.
Full GPU
Best variant: Q4_K_M
Full GPU inference — 32 GB VRAM meets the 8 GB recommendation.
- GPU VRAM
- 32 GB
- Min VRAM (best fit)
- 5.5 GB
- Recommended VRAM
- 8 GB
- Estimated tok/s
- ~34
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Every InternLM 2.5 7B 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 | 4.7 GB | 5.5 GB | 8 GB | 8K / 32K | Full GPU | ~34 |
Apple M1 Pro (16-core GPU) is solid pick for InternLM 2.5 7B
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