DeepSeek R17B parameters

Hardware for Running DeepSeek R1 7B Locally

Reasoning-focused chat, math and logic, chain-of-thought inference. Below you'll find VRAM requirements at different quantization levels and our recommended GPUs at every budget.

VRAM Requirements

PrecisionVRAM RequiredNotes
FP16 (full precision)14 GBBest quality, highest VRAM usage
Q8 (8-bit quantized)8 GBNear-lossless quality, good balance
Q4 (4-bit quantized)4.5 GBSmallest footprint, slight quality loss

Budget Picks

Intel Arc B580 12GB
Intel Arc B580 12GB

$249 – $289

  • VRAM: 12GB GDDR6
  • Memory Bandwidth: 456 GB/s
  • Architecture: Xe2 (Battlemage)
NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB

$399 – $449

  • VRAM: 16GB GDDR6
  • Memory Bandwidth: 288 GB/s
  • CUDA Cores: 4,352
NVIDIA GeForce RTX 5060 Ti 16GB
NVIDIA GeForce RTX 5060 Ti 16GB

$429 – $479

  • VRAM: 16GB GDDR7
  • Memory Bandwidth: 448 GB/s
  • CUDA Cores: 4,608

Mid-Range Picks

NVIDIA GeForce RTX 4080 SUPER
NVIDIA GeForce RTX 4080 SUPER

$949 – $1,099

  • VRAM: 16GB GDDR6X
  • CUDA Cores: 10,240
  • Memory Bandwidth: 736 GB/s
Apple Mac Mini M4 Pro
Apple Mac Mini M4 Pro

$1,399 – $1,599

  • Chip: Apple M4 Pro
  • CPU Cores: 12-core
  • GPU Cores: 18-core

Premium Picks

NVIDIA GeForce RTX 5090
NVIDIA GeForce RTX 5090

$1,999 – $2,199

  • VRAM: 32GB GDDR7
  • CUDA Cores: 21,760
  • Memory Bandwidth: 1,792 GB/s

Compatible Tools

Software you can use to run DeepSeek R1 7B on your hardware:

Ollamallama.cppvLLMLM Studio

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