Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — you'll have ~8.8 GB of headroom running Gemma 4 12B (Unified) at Q4_K_M (7.245 GB, ~5 tok/s (est.)) with room for up to 32K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 16 GB unified memory |
| Memory Bandwidth | 68 GB/s |
| Quant | VRAM needed | Fits 16 GB? | Max context |
|---|---|---|---|
| F16 | 25.5 GB | ✗ No | — |
| Q8_0 | 14.2 GB | ✓ Yes | 8K |
| Q6_K | 11.3 GB | ✓ Yes | 32K |
| Q5_K_M | 10 GB | ✓ Yes | 32K |
| Q4_K_M | 8.7 GB | ✓ Yes | 32K |
| Q3_K_M | 6.6 GB | ✓ Yes | 32K |
| Q2_K | 5.4 GB | ✓ Yes | 64K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 16 GB of unified memory. 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 · 7.245 GB · ~5 tok/s (est.) |
| Gemma 4 E4B | Q4 (QAT) · 4.5 GB · ~7 tok/s (est.) |
| Gemma 4 E2B | Q4 (QAT) · 2.86875 GB · ~11 tok/s (est.) |
At 2 hrs/day, buying (~$999) beats renting at $0.34/hr after about 4.1 years.
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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 ~8.8 GB of headroom running Gemma 4 12B (Unified) at Q4_K_M (7.245 GB, ~5 tok/s (est.)) with room for up to 32K context.
Gemma 4 12B (Unified) at Q4_K_M quantization (7.245 GB), estimated ~5 tokens/sec, up to 32K context.
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