Can I Run DeepSeek R1 (671B) on NVIDIA GeForce RTX 5060 Ti 16GB?
作者： Jakub Rusinowski · 最后更新： 2026年7月12日
No. DeepSeek R1 (671B) needs 406.5 GB at 8K context (405.1 GB weights + 1.4 GB KV cache/overhead) at Q4_K_M and the NVIDIA GeForce RTX 5060 Ti 16GB has only 16 GB. No quantization we publish closes a gap that size.
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The numbers
| Model | DeepSeek R1 (671B) |
| Parameters | 671B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 406.5 GB |
| NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16 GB |
| Verdict | Does not fit |
DeepSeek R1 (671B) on the NVIDIA GeForce RTX 5060 Ti 16GB: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 1343.4 GB | ✗ No | — | — |
| Q8_0 | 714.3 GB | ✗ No | — | — |
| Q6_K | 551.6 GB | ✗ No | — | — |
| Q5_K_M | 476.9 GB | ✗ No | — | — |
| Q4_K_M | 406.5 GB | ✗ No | — | — |
| Q3_K_M | 287.4 GB | ✗ No | — | — |
| Q2_K | 222 GB | ✗ No | — | — |
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 16 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 5060 Ti 16GB: 8K 406.5 GB ✗ · 32K 408.2 GB ✗ · 128K 415.1 GB ✗. Past 8K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Step down to a smaller size in this family — no single consumer card we track fits this one.
No compatible GPU? DeepSeek R1 on 8 GB of system RAM, CPU only: runs.
Running DeepSeek R1 (671B) on this card:
DeepSeek R1 (671B) needs ~407 GB but this GPU has 16 GB. Rent a 8× H100 (640 GB)-class GPU by the hour instead of buying one:
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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 DeepSeek R1 sizes on the NVIDIA GeForce RTX 5060 Ti 16GB
- DeepSeek R1 Distill Qwen 32B — runs at a lower quant (22.3 GB)
- DeepSeek R1 Distill Llama 8B — runs (6.7 GB)
DeepSeek R1 (671B) on nearby hardware
- Intel Arc B580 (12 GB) — does not fit
- AMD Radeon RX 7900 XT (20 GB) — does not fit
All DeepSeek R1 sizes on the NVIDIA GeForce RTX 5060 Ti 16GB | DeepSeek R1 (671B) model page | NVIDIA GeForce RTX 5060 Ti 16GB GPU page | VRAM calculator | Check your hardware