Written by Jakub Rusinowski · Last updated June 3, 2026
Yes, comfortably — you'll have ~6 GB of headroom running Gemma 4 12B (Unified) at Q4_K_M (10 GB, ~96 tok/s (est.)) with room for up to 8K context.
Check price on Amazon — NVIDIA GeForce RTX 5080 16GB
| VRAM | 16 GB |
| Memory Bandwidth | 960 GB/s |
| Quant | VRAM needed | Fits 16 GB? | Max context |
|---|---|---|---|
| F16 | 28.6 GB | ✗ No | — |
| Q8_0 | 17.4 GB | ✗ No | — |
| Q6_K | 14.5 GB | ✓ Yes | 4K |
| Q5_K_M | 13.1 GB | ✓ Yes | 4K |
| Q4_K_M | 11.9 GB | ✓ Yes | 8K |
| Q3_K_M | 9.8 GB | ✓ Yes | 8K |
| Q2_K | 8.6 GB | ✓ Yes | 8K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 16 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Gemma 4 12B (Unified) | Q4_K_M · 10 GB · ~96 tok/s (est.) |
| Gemma 4 E4B | Q4 (QAT) · 5.5 GB · ~175 tok/s (est.) |
| Gemma 4 E2B | Q4 (QAT) · 5 GB · ~192 tok/s (est.) |
At 2 hrs/day, buying (~$999) beats renting at $0.34/hr after about 4.1 years.
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 ~6 GB of headroom running Gemma 4 12B (Unified) at Q4_K_M (10 GB, ~96 tok/s (est.)) with room for up to 8K context.
Gemma 4 12B (Unified) at Q4_K_M quantization (10 GB), estimated ~96 tokens/sec, up to 8K context.
← Can I Run It? | Gemma 4 Model Page | NVIDIA GeForce RTX 5080 GPU Page | Check Your Hardware