Autor: Jakub Rusinowski · Ostatnia aktualizacja: 3 czerwca 2026
Yes, comfortably — you'll have ~2.5 GB of headroom running Gemma 4 E4B at Q4 (QAT) (5.5 GB, ~81 tok/s (est.)).
Sprawdź cenę na Amazon — NVIDIA GeForce RTX 5060 Ti 8GB
| VRAM | 8 GB |
| Memory Bandwidth | 448 GB/s |
| Quant | VRAM needed | Fits 8 GB? | Max context |
|---|---|---|---|
| F16 | 19.4 GB | ✗ No | — |
| Q8_0 | 11.9 GB | ✗ No | — |
| Q6_K | 9.9 GB | ✗ No | — |
| Q5_K_M | 9 GB | ✗ No | — |
| Q4_K_M | 8.2 GB | ✗ No | — |
| Q3_K_M | 6.8 GB | ✓ Yes | 4K |
| Q2_K | 6 GB | ✓ Yes | 4K |
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.
| Gemma 4 E4B | Q4 (QAT) · 5.5 GB · ~81 tok/s (est.) |
| Gemma 4 E2B | Q4 (QAT) · 5 GB · ~90 tok/s (est.) |
At 2 hrs/day, buying (~$379) beats renting at $0.34/hr after about 19 months.
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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 ~2.5 GB of headroom running Gemma 4 E4B at Q4 (QAT) (5.5 GB, ~81 tok/s (est.)).
Gemma 4 E4B at Q4 (QAT) quantization (5.5 GB), estimated ~81 tokens/sec.
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