Apple M2 Max meets the minimum VRAM requirement for Q4 inference of LiquidAI/LFM2-1.2B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Max can run LiquidAI/LFM2-1.2B with Q4 quantization. At approximately 63 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 95GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 96GB | 63.49 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 96GB | 43.12 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 96GB | 25.84 tok/s | ✅ Fits comfortably |