RAM by quantization
Lower quantization = less RAM but lower quality. Q4_K_M is the recommended sweet spot for most users.
| Format | Bits | RAM | Quality | Verdict |
|---|---|---|---|---|
| Q2_K | 2 | 26.4 GB | Low | After cleanup |
| Q3_K_M | 3 | 33.4 GB | Moderate | Tight fit |
| Q4_K_MREC | 4 | 40.6 GB | Good | Tight fit |
| Q5_K_M | 5 | 47.8 GB | Good | Tight fit |
| Q6_K | 6 | 55.0 GB | Excellent | Needs high RAM |
| Q8_0 | 8 | 72.0 GB | Excellent | Needs high RAM |
Which Mac can run Llama 3.3 70B?
Based on the recommended Q4_K_M quantization. You need RAM for both the model and your running apps — DevPulse calculates this for you. No CUDA installation. No driver hell. Just Apple Silicon doing what Jensen charges $30K for.