作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — you'll have ~3.5 GB of headroom running Gemma 4 E4B at Q4 (QAT) (4.5 GB, ~49 tok/s (est.)).
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 8 GB |
| Memory Bandwidth | 448 GB/s |
| Quant | VRAM needed | Fits 8 GB? | Max context |
|---|---|---|---|
| F16 | 17.4 GB | ✗ No | — |
| Q8_0 | 9.9 GB | ✗ No | — |
| Q6_K | 7.9 GB | ✓ Yes | 4K |
| Q5_K_M | 7 GB | ✓ Yes | 8K |
| Q4_K_M | 6.2 GB | ✓ Yes | 16K |
| Q3_K_M | 4.8 GB | ✓ Yes | 16K |
| Q2_K | 4 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.
| Gemma 4 E4B | Q4 (QAT) · 4.5 GB · ~49 tok/s (est.) |
| Gemma 4 E2B | Q4 (QAT) · 2.86875 GB · ~70 tok/s (est.) |
At 2 hrs/day, buying (~$499) beats renting at $0.34/hr after about 2.0 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 ~3.5 GB of headroom running Gemma 4 E4B at Q4 (QAT) (4.5 GB, ~49 tok/s (est.)).
Gemma 4 E4B at Q4 (QAT) quantization (4.5 GB), estimated ~49 tokens/sec.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Gemma 4 31B | 18.7 GB | Does not fit | — |
| Gemma 4 26B-A4B | 15.7 GB | Does not fit | — |
| Gemma 4 12B (Unified) | 7.2 GB | Runs at Q2_K | — |
| Gemma 4 E4B | 4.5 GB | Runs | ~49 tok/s |
| Gemma 4 E2B | 2.9 GB | Runs | ~70 tok/s |
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