Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — you'll have ~5.7 GB of headroom running Phi 3.5 Mini at Q4_K_M (2.29425 GB, ~107 tok/s (est.)) with room for up to 32K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
| VRAM | 8 GB |
| Memory Bandwidth | 448 GB/s |
| Quant | VRAM needed | Fits 8 GB? | Max context |
|---|---|---|---|
| F16 | 8.8 GB | ✗ No | — |
| Q8_0 | 5.2 GB | ✓ Yes | 16K |
| Q6_K | 4.3 GB | ✓ Yes | 32K |
| Q5_K_M | 3.9 GB | ✓ Yes | 32K |
| Q4_K_M | 3.5 GB | ✓ Yes | 32K |
| Q3_K_M | 2.8 GB | ✓ Yes | 32K |
| Q2_K | 2.5 GB | ✓ Yes | 32K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Phi 3.5 Mini | Q4_K_M · 2.29425 GB · ~107 tok/s (est.) |
At 2 hrs/day, buying (~$299) beats renting at $0.34/hr after about 15 months.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~5.7 GB of headroom running Phi 3.5 Mini at Q4_K_M (2.29425 GB, ~107 tok/s (est.)) with room for up to 32K context.
Phi 3.5 Mini at Q4_K_M quantization (2.29425 GB), estimated ~107 tokens/sec, up to 32K context.
← Can I Run It? | Phi 3.5 Family Model Page | NVIDIA GeForce RTX 5060 GPU Page | Check Your Hardware