Multimodal model by Google · 28.84B parameters
Everything this chip runs, machine by machine: MacBook Pro 14" M5 Pro, MacBook Pro 16" M5 Pro
translategemma 27b it can run but will be tight at 80% of RAM. Consider a lower quantization or closing other apps.
Alternative: Q3_K_M (16.2 GB, ~12 tok/s)
Specifications
GGUF Sources
| Quantization | Memory | Speed | Fits? |
|---|---|---|---|
| Q8_0 | 32.7 GB | ~6 tok/s | ✗ |
| Q6_K | 25.5 GB | ~7 tok/s | ✗ |
| Q5_K_M | 22.0 GB | ~9 tok/s | ✗ |
| Q4_K_M Recommended | 19.1 GB | ~10 tok/s | ✓ |
| Q3_K_M | 16.2 GB | ~12 tok/s | ✓ |
| Q2_K | 13.1 GB | ~16 tok/s | ✓ |
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