How to Run a 70B Model Without an Expensive GPU

A 70B model at full precision wants ~140GB of VRAM — but you don't need that. With the right tricks you can run one on a single 24GB card, a Mac, or a cheap rented GPU for pennies an hour.

1. Quantize it down to Q4

A 70B at Q4_K_M needs roughly ~40GB instead of ~140GB — and quality stays ~98%. This alone puts it in reach of a 48GB setup, or a single 24GB card with offload.

Free · almost no quality lossStill large

2. Offload to system RAM

Tools like Ollama and llama.cpp split the model between GPU VRAM and regular RAM. A 24GB card + 64GB RAM can run a 70B — slowly (a few tokens/sec), but it runs. Great for occasional use.

Works on modest hardwareSlow

3. Use a Mac with lots of unified memory

Apple Silicon shares memory between CPU and GPU, so a Mac with 64GB+ can run a 70B natively at usable speeds — no separate GPU needed. See our Mac vs NVIDIA guide.

Quiet, efficient, usable speedPricey up front

4. Rent a cloud GPU by the hour

The cheapest way to run a 70B fast without buying hardware. Services like RunPod and Vast.ai rent big GPUs for often under $1/hour. Perfect for occasional heavy jobs — pay only while you use it.

Fast · no hardware · cheap per hourNeeds internet · not private

Want to know if your hardware can handle a 70B — and at what speed?

Check your setup free →

The honest recommendation

For occasional use, quantize + offload on what you already own. For regular use, a Mac with big memory or a 24GB GPU is the sweet spot. For heavy bursts, rent a cloud GPU and pay by the hour. Match the method to how often you'll actually use it.