Can I Run DeepSeek-R1-Distill-Qwen-14B on NVIDIA GeForce RTX 3060 (12GB)?
作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — DeepSeek R1 Distill Qwen 14B at Q4_K_M needs 10.6 GB at 8K context (8.5 GB weights + 2.1 GB KV cache/overhead), leaving ~1.4 GB of the NVIDIA GeForce RTX 3060 (12GB)'s 12 GB, at ~23 tok/s (est.), with room for up to 16K context.
These figures are for DeepSeek-R1-Distill-Qwen-14B, a distill of Qwen2.5-14B — not the full DeepSeek R1. The full DeepSeek R1 (671B) needs about 405 GB of weights at Q4_K_M and is a different model.
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 3060 (12GB) Specs
| VRAM | 12 GB |
| Memory Bandwidth | 360 GB/s |
DeepSeek R1 Distill Qwen 14B on the NVIDIA GeForce RTX 3060 (12GB): VRAM by quantization
| Quant | VRAM needed | Fits 12 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 30.1 GB | ✗ No | — | — |
| Q8_0 | 17 GB | ✗ No | — | Build for this |
| Q6_K | 13.6 GB | ✗ No | — | — |
| Q5_K_M | 12.1 GB | ✗ No | — | Build for this |
| Q4_K_M | 10.6 GB | ✓ Yes | 16K | Build for this |
| Q3_K_M | 8.1 GB | ✓ Yes | 16K | — |
| Q2_K | 6.7 GB | ✓ Yes | 32K | — |
Assumes an 8K-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.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 3060 (12GB): 8K 10.6 GB · 32K 14.6 GB ✗ · 128K 30.7 GB ✗. Past 32K it no longer fits 12 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? DeepSeek R1 Distill Qwen 14B on 16 GB of system RAM, CPU only: runs, but it is tight.
DeepSeek R1 Sizes That Fit the NVIDIA GeForce RTX 3060 (12GB) (at 8K context)
| DeepSeek R1 Distill Qwen 14B | Q4_K_M · 10.6 GB at 8K context · ~23 tok/s (est.) |
| DeepSeek R1 Distill Llama 8B | Q4_K_M · 6.7 GB at 8K context · ~38 tok/s (est.) |
At 2 hrs/day, buying (~$329) beats renting at $0.34/hr after about 16 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
Can I run DeepSeek R1 on the NVIDIA GeForce RTX 3060 (12GB)?
Yes, comfortably — DeepSeek R1 Distill Qwen 14B at Q4_K_M needs 10.6 GB at 8K context (8.5 GB weights + 2.1 GB KV cache/overhead), leaving ~1.4 GB of the NVIDIA GeForce RTX 3060 (12GB)'s 12 GB, at ~23 tok/s (est.), with room for up to 16K context.
What's the best DeepSeek R1 size for the NVIDIA GeForce RTX 3060 (12GB)?
DeepSeek R1 Distill Qwen 14B at Q4_K_M quantization needs 10.6 GB at 8K context (8.5 GB weights + 2.1 GB KV cache/overhead), estimated ~23 tokens/sec, up to 16K context.
Every DeepSeek R1 size on the NVIDIA GeForce RTX 3060 (12GB)
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| DeepSeek R1 (671B) | 406.5 GB | Does not fit | — |
| DeepSeek R1 Distill Qwen 32B | 22.3 GB | Does not fit | — |
| DeepSeek R1 Distill Llama 8B | 6.7 GB | Runs | ~38 tok/s |
DeepSeek R1 on Other GPUs
- DeepSeek R1 on NVIDIA GeForce RTX 5070
- DeepSeek R1 on NVIDIA GeForce RTX 4070 Ti
- DeepSeek R1 on NVIDIA GeForce RTX 4070 Super
- DeepSeek R1 on NVIDIA GeForce RTX 4070
- DeepSeek R1 on Intel Arc B580
Popular Models on the NVIDIA GeForce RTX 3060 (12GB)
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | DeepSeek R1 Model Page | NVIDIA GeForce RTX 3060 (12GB) GPU Page | VRAM calculator | Check Your Hardware