Can I run DeepSeek-R1-Distill-Qwen-7B on a NVIDIA RTX 4090?

Yes.Runs

You can run this comfortably. On a NVIDIA RTX 4090 (24 GB VRAM), DeepSeek-R1-Distill-Qwen-7B needs about 19 GB (FP16) and should generate at roughly ~42 tok/s. Recommended: Run on your GPU with FP16.

deepseek-ai/DeepSeek-R1-Distill-Qwen-7B

Why

At full precision this model needs ~19 GB, which fits your GPU VRAM.

How to run DeepSeek-R1-Distill-Qwen-7B on a RTX 4090

Serve with vLLM (OpenAI-compatible API)

# Fast production serving on http://localhost:8000/v1
vllm serve deepseek-ai/DeepSeek-R1-Distill-Qwen-7B

Python (Transformers)

from transformers import pipeline
pipe = pipeline("text-generation", model="deepseek-ai/DeepSeek-R1-Distill-Qwen-7B", device_map="auto")
print(pipe("Hello", max_new_tokens=50))

Want it to run comfortably at higher precision? The smallest GPU that runs DeepSeek-R1-Distill-Qwen-7B well is the NVIDIA RTX 5090 (32 GB).

Try the full analyzer

DeepSeek-R1-Distill-Qwen-7B on other GPUs

RTX 509032 GB VRAM RTX 508016 GB VRAM RTX 5070 Ti16 GB VRAM RTX 507012 GB VRAM RTX 4080 Super16 GB VRAM RTX 4070 Ti Super16 GB VRAM

Other models on a RTX 4090

Qwen2.5-0.5Bon RTX 4090 GPT-2on RTX 4090 Phi-3-minion RTX 4090 Qwen2.5-Coderon RTX 4090 Mistral-7Bon RTX 4090 Llama-3.1-8Bon RTX 4090