Can I Run Gemma 2 Family on NVIDIA GeForce RTX 5070?

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Superseded model. Gemma 2 Family has been superseded by Gemma 4. This page is kept for reference; the newer family is a better starting point. View Gemma 4 →

作者： Jakub Rusinowski · 最后更新： 2026年7月12日

Yes, comfortably — you'll have ~6.6 GB of headroom running Gemma 2 9B IT at Q4_K_M (5.4 GB, ~70 tok/s (est.)) with room for up to 8K context.

See what else this hardware can run →

购买此硬件 NVIDIA GeForce RTX 5070 12GB — 12 GB VRAM · 250 W board power 立即云端部署 RunPod 上的 RTX 4090 — 低至 $0.34/小时 · 价格核实于 2026-07

或在 Vast.ai 比较，低至 $0.35/小时 (typical low · varies)

作为亚马逊联盟成员，我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金，您无需额外付费。

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NVIDIA GeForce RTX 5070 12GB

12 GB VRAM · 250 W board power

2026年价格波动较大——请以当前商品页价格为准。

在亚马逊查看价格

NVIDIA GeForce RTX 5070 Specs

VRAM	12 GB
Memory Bandwidth	672 GB/s

Gemma 2 9B IT on the NVIDIA GeForce RTX 5070: VRAM by quantization

Quant	VRAM needed	Fits 12 GB?	Max context	Whole PC
F16	20.2 GB	✗ No	—	—
Q8_0	11.8 GB	✓ Yes	4K	—
Q6_K	9.6 GB	✓ Yes	8K	—
Q5_K_M	8.6 GB	✓ Yes	8K	—
Q4_K_M	7.6 GB	✓ Yes	8K	—
Q3_K_M	6 GB	✓ Yes	8K	—
Q2_K	5.2 GB	✓ Yes	8K	—

Assumes a 4K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 12 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

No compatible GPU? Gemma 2 9B IT on 16 GB of system RAM, CPU only: runs.