Can I Run DeepSeek R1 Distill Qwen 14B on a NVIDIA RTX 4070 Ti Super?
Runs comfortably at Q6_K — minimal quality loss.
3 quantizations fit your 16.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 13.2 GB | 14.7 GB | 12.2 GB | +2.8 GB |
| Q5_K_M | 11.5 GB | 13.0 GB | 10.5 GB | +4.5 GB |
| Q4_K_M | 10.0 GB | 11.5 GB | 9.0 GB | +6.0 GB |
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Top-ranked open-source models that fit in 16.0GB.
FAQ
Can the NVIDIA RTX 4070 Ti Super run DeepSeek R1 Distill Qwen 14B?
Yes. The NVIDIA RTX 4070 Ti Super's 16.0GB of VRAM is enough to run DeepSeek R1 Distill Qwen 14B at Q6_K quantization (13.2GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 16.0GB. It uses about 13.2GB of memory and 14.7GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.