Can I Run Gemma 3n on NVIDIA GeForce RTX 4060?
作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — Gemma 3n E4B at Q4_K_M needs 6.7 GB at 8K context (4.7 GB weights + 2 GB KV cache/overhead), leaving ~1.3 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~72 tok/s (est.), with room for up to 16K context.
See what else this hardware can run →
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。
NVIDIA GeForce RTX 4060 Specs
| VRAM | 8 GB |
| Memory Bandwidth | 272 GB/s |
Gemma 3n E4B on the NVIDIA GeForce RTX 4060: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 17.6 GB | ✗ No | — | — |
| Q8_0 | 10.3 GB | ✗ No | — | — |
| Q6_K | 8.4 GB | ✗ No | — | — |
| Q5_K_M | 7.5 GB | ✓ Yes | 8K | — |
| Q4_K_M | 6.7 GB | ✓ Yes | 16K | — |
| Q3_K_M | 5.3 GB | ✓ Yes | 16K | — |
| Q2_K | 4.5 GB | ✓ Yes | 32K | — |
Assumes an 8K-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_K_M on the NVIDIA GeForce RTX 4060: 8K 6.7 GB · 32K 10.1 GB ✗. Past 32K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Gemma 3n E4B on 16 GB of system RAM, CPU only: runs.
Gemma 3n Sizes That Fit the NVIDIA GeForce RTX 4060 (at 8K context)
| Gemma 3n E4B | Q4_K_M · 6.7 GB at 8K context · ~72 tok/s (est.) |
| Gemma 3n E2B | Q4_K_M · 5.1 GB at 8K context · ~113 tok/s (est.) |
At 2 hrs/day, buying (~$299) beats renting at $0.34/hr after about 15 months.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Is the NVIDIA GeForce RTX 4060 enough to run Gemma 3n locally?
Yes, comfortably — Gemma 3n E4B at Q4_K_M needs 6.7 GB at 8K context (4.7 GB weights + 2 GB KV cache/overhead), leaving ~1.3 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~72 tok/s (est.), with room for up to 16K context.
What's the best Gemma 3n size for the NVIDIA GeForce RTX 4060?
Gemma 3n E4B at Q4_K_M quantization needs 6.7 GB at 8K context (4.7 GB weights + 2 GB KV cache/overhead), estimated ~72 tokens/sec, up to 16K context.
Every Gemma 3n size on the NVIDIA GeForce RTX 4060
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Gemma 3n E4B | 6.7 GB | Runs | ~72 tok/s |
| Gemma 3n E2B | 5.1 GB | Runs | ~113 tok/s |
Gemma 3n on Other GPUs
- Gemma 3n on NVIDIA GeForce RTX 5060 Ti 8GB
- Gemma 3n on NVIDIA GeForce RTX 5060
- Gemma 3n on NVIDIA GeForce RTX 3070 Ti
- Gemma 3n on NVIDIA GeForce RTX 3070
- Gemma 3n on AMD Radeon RX 9060 XT 8GB
Popular Models on the NVIDIA GeForce RTX 4060
- DeepSeek R1 on NVIDIA GeForce RTX 4060
- Qwen 3 on NVIDIA GeForce RTX 4060
- Qwen 2.5 Family on NVIDIA GeForce RTX 4060
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Gemma 3n Model Page | NVIDIA GeForce RTX 4060 GPU Page | VRAM calculator | Check Your Hardware