General model by cognica · 3.02B parameters
Everything this chip runs, machine by machine: MacBook Pro 14" M5 Pro, MacBook Pro 16" M5 Pro
Cognica PoE v1.0 3B base continual learning fits comfortably in your 24 GB Mac using Q8_0 quantization, using 16% of your RAM.
~53 tok/s
Q8_0 · 3.9 GB · Estimated
| Quantization | Memory | Speed | Fits? |
|---|---|---|---|
| Q8_0 Recommended | 3.9 GB | ~53 tok/s | ✓ |
| Q6_K | 3.1 GB | ~70 tok/s | ✓ |
| Q5_K_M | 2.8 GB | ~82 tok/s | ✓ |
| Q4_K_M | 2.4 GB | ~96 tok/s | ✓ |
| Q3_K_M | 2.1 GB | ~116 tok/s | ✓ |
| Q2_K | 1.8 GB | ~151 tok/s | ✓ |
Closest matches by use case and parameter count.
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