3.8B with 128K context. No GQA, so KV grows fast at long context.
generalchatreasoning · sizes: 3.8B · MIT
| machine | best fit | verdict | speed |
|---|---|---|---|
| Apple M1 · 8GB | 3.8B Q5_K_M | 🐢 CPU-only (slow) | 2–3 tok/s |
| Apple M1 Pro · 16GB | 3.8B Q8_0 | ✅ Runs (tight) | 25–40 tok/s |
| Apple M2 · 16GB | 3.8B Q8_0 | ✅ Runs (tight) | 14–25 tok/s |
| Apple M3 Pro · 18GB | 3.8B Q8_0 | ✅ Runs (tight) | 20–35 tok/s |
| Apple M2 Pro · 32GB | 3.8B Q8_0 | ✅ Runs comfortably | 25–45 tok/s |
| Apple M4 Pro · 48GB | 3.8B Q8_0 | ✅ Runs comfortably | 35–55 tok/s |
| Apple M3 Max · 36GB | 3.8B Q8_0 | ✅ Runs comfortably | 45–75 tok/s |
| Apple M2 Max · 64GB | 3.8B Q8_0 | ✅ Runs comfortably | 45–75 tok/s |
| Apple M4 Max · 128GB | 3.8B Q8_0 | ✅ Runs comfortably | 55–95 tok/s |
| Apple M2 Ultra · 192GB | 3.8B Q8_0 | ✅ Runs comfortably | 75–130 tok/s |
| NVIDIA GeForce RTX 3060 · 12GB VRAM | 3.8B Q8_0 | ✅ Runs comfortably | 35–60 tok/s |
| NVIDIA GeForce RTX 4070 · 12GB VRAM | 3.8B Q8_0 | ✅ Runs comfortably | 50–85 tok/s |
| NVIDIA GeForce RTX 4090 · 24GB VRAM | 3.8B Q8_0 | ✅ Runs comfortably | 100–170 tok/s |
| NVIDIA GeForce RTX 5080 · 16GB VRAM | 3.8B Q8_0 | ✅ Runs comfortably | 100–160 tok/s |
| NVIDIA GeForce RTX 5090 · 32GB VRAM | 3.8B Q8_0 | ✅ Runs comfortably | 180–300 tok/s |
| AMD Radeon RX 7900 XTX · 24GB VRAM | 3.8B Q8_0 | ✅ Runs comfortably | 95–150 tok/s |
Shopping for a machine? What hardware do I need to run Phi-3.5-mini? →
Check your exact rig: open the checker →