General model by t-systems-onsite · 0.28B parameters · Released 2022-03-02
Everything this chip runs, machine by machine: MacBook Pro 14" M5 Pro, MacBook Pro 16" M5 Pro
cross en es pt roberta sentence transformer fits comfortably in your 24 GB Mac using Q8_0 quantization, using 3% of your RAM.
~574 tok/s
Q8_0 · 0.8 GB · Estimated
| Quantization | Memory | Speed | Fits? |
|---|---|---|---|
| Q8_0 Recommended | 0.8 GB | ~574 tok/s | ✓ |
| Q6_K | 0.7 GB | ~754 tok/s | ✓ |
| Q5_K_M | 0.7 GB | ~887 tok/s | ✓ |
| Q4_K_M | 0.7 GB | ~1,040 tok/s | ✓ |
| Q3_K_M | 0.7 GB | ~1,256 tok/s | ✓ |
| Q2_K | 0.6 GB | ~1,630 tok/s | ✓ |
Closest matches by use case and parameter count.
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