Can I Run Gemma 4 E2B on NVIDIA GeForce RTX 5060 Ti 8GB?
作者： Jakub Rusinowski · 最后更新： 2026年9月19日
Yes. Gemma 4 E2B needs 2.9 GB at Q4 (QAT) and the NVIDIA GeForce RTX 5060 Ti 8GB has 8 GB, leaving about 5.1 GB of headroom, at roughly 90 tok/s (estimated) with room for up to 16K of context.
See what else this hardware can run →
The numbers
| Model | Gemma 4 E2B |
| Parameters | 2B (Efficient) |
| Quantization | Q4 (QAT) |
| VRAM needed | 2.9 GB |
| NVIDIA GeForce RTX 5060 Ti 8GB VRAM | 8 GB |
| Verdict | Runs |
| Max context | 16K |
| Estimated speed | ~90 tok/s |
Gemma 4 E2B on the NVIDIA GeForce RTX 5060 Ti 8GB: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 11.5 GB | ✗ No | — | — |
| Q8_0 | 6.7 GB | ✓ Yes | 8K | — |
| Q6_K | 5.5 GB | ✓ Yes | 16K | — |
| Q5_K_M | 4.9 GB | ✓ Yes | 16K | — |
| Q4_K_M | 4.4 GB | ✓ Yes | 32K | — |
| Q3_K_M | 3.5 GB | ✓ Yes | 32K | — |
| Q2_K | 3 GB | ✓ Yes | 32K | — |
Assumes a 4K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “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.
Context costs VRAM too. At Q4 (QAT) on the NVIDIA GeForce RTX 5060 Ti 8GB: 8K 4.7 GB · 32K 7.7 GB · 125K 19.4 GB ✗. Past 125K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Nothing to change — run it at Q4 (QAT). If you want more capability, check whether the next size up also fits.
No compatible GPU? Gemma 4 E2B on 8 GB of system RAM, CPU only: runs, but it is tight.
Running Gemma 4 E2B on this card:
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.
Other Gemma 4 sizes on the NVIDIA GeForce RTX 5060 Ti 8GB
- Gemma 4 31B — does not fit (18.7 GB)
- Gemma 4 26B-A4B — does not fit (15.7 GB)
- Gemma 4 12B (Unified) — runs at a lower quant (7.2 GB)
- Gemma 4 E4B — runs (4.5 GB)
Gemma 4 E2B on nearby hardware
- NVIDIA GeForce RTX 3080 (10GB) (10 GB) — runs
All Gemma 4 sizes on the NVIDIA GeForce RTX 5060 Ti 8GB | Gemma 4 E2B model page | NVIDIA GeForce RTX 5060 Ti 8GB GPU page | Check your hardware