Can I Run DeepSeek-R1-Distill-Qwen-14B on NVIDIA GeForce RTX 4070 Ti?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 września 2026
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 4070 Ti's 12 GB, at ~46 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.
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NVIDIA GeForce RTX 4070 Ti Specs
| VRAM | 12 GB |
| Memory Bandwidth | 504 GB/s |
DeepSeek R1 Distill Qwen 14B on the NVIDIA GeForce RTX 4070 Ti: 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 4070 Ti: 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 4070 Ti (at 8K context)
| DeepSeek R1 Distill Qwen 14B | Q4_K_M · 10.6 GB at 8K context · ~46 tok/s (est.) |
| DeepSeek R1 Distill Llama 8B | Q4_K_M · 6.7 GB at 8K context · ~73 tok/s (est.) |
At 2 hrs/day, buying (~$799) beats renting at $0.34/hr after about 3.3 years.
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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 4070 Ti?
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 4070 Ti's 12 GB, at ~46 tok/s (est.), with room for up to 16K context.
What's the best DeepSeek R1 size for the NVIDIA GeForce RTX 4070 Ti?
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 ~46 tokens/sec, up to 16K context.
Every DeepSeek R1 size on the NVIDIA GeForce RTX 4070 Ti
| 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 | ~73 tok/s |
DeepSeek R1 on Other GPUs
- DeepSeek R1 on NVIDIA GeForce RTX 5070
- DeepSeek R1 on NVIDIA GeForce RTX 4070 Super
- DeepSeek R1 on NVIDIA GeForce RTX 4070
- DeepSeek R1 on NVIDIA GeForce RTX 3060 (12GB)
- DeepSeek R1 on Intel Arc B580
Popular Models on the NVIDIA GeForce RTX 4070 Ti
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← Can I Run It? | DeepSeek R1 Model Page | NVIDIA GeForce RTX 4070 Ti GPU Page | VRAM calculator | Check Your Hardware