Home / Can I run it? / R1 Distill 14B / R1 Distill 14B on an RTX 4090

Yes. R1 Distill 14B at Q8_0 needs about 19.0 GB, and the GeForce RTX 4090 has 24.0 GB usable at a ~4k context.

Can I run R1 Distill 14B on an RTX 4090?

R1 Distill 14B at Q8_0 needs about 19.0 GB, and the GeForce RTX 4090 has 24.0 GB usable. That figure is 24 GB of VRAM on the spec sheet, of which 24.0 GB is usable for weights and cache, at 1008 GB/s memory bandwidth. A 14B DeepSeek-R1 distill on Qwen. Same memory class as other 14B dense models, with reasoning-tuned weights. These are estimates from our formula, not measured benchmarks.

Quant that fits

Q8_0 Fits with headroom

Memory needed

19.0 GB at Q8_0, ~4k context

Usable VRAM

24.0 GB of 24 GB VRAM

Est. tokens/sec

39–55 estimate

DeepSeek-R1-Distill-Qwen-14B · GeForce RTX 4090 · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

Estimate: 39–55 tokens/sec at Q8_0. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from How we calculate.

Context headroom

At Q8_0, this machine has headroom out to about 16k tokens under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.

From the model’s config. Try other sizes in the VRAM calculator or see the context length guide.

What to do instead

• See the best GPU for this model family and the DeepSeek-R1-Distill-Qwen-14B model page.

Other hardware for R1 Distill 14B

• R1 Distill 14B on an RTX 3060 12GBTight
• R1 Distill 14B on an RTX 3070 TiWon’t fit
• R1 Distill 14B on an Arc B580Tight
• R1 Distill 14B on a Mac mini 16GBTight

Other models on an RTX 4090

• Qwen3-32B on an RTX 4090Tight
• Qwen3-30B-A3B on an RTX 4090Tight
• Qwen3.8-27B on an RTX 4090Fits
• Gemma 3 27B on an RTX 4090Fits
• Gemma 4 31B on an RTX 4090Tight
• gpt-oss-20b on an RTX 4090Fits