Llama 3.3 70B Instruct VRAM requirements
Meta · 70B params · Llama 3.3 Community License. Estimates, not vendor numbers.
Llama 3.3 70B Instruct (70B parameters) needs about 44 GB of VRAM or unified memory at Q4, 51 GB at Q5 and 76 GB at Q8 (weights plus about 1.5 GB headroom, our estimate). The smallest common setup that runs it is Mac 128GB (M4 Max).
| Quant | Download | Memory needed |
|---|---|---|
| Q4 | 42 GB | 44 GB |
| Q5 | 50 GB | 51 GB |
| Q8 | 74 GB | 76 GB |
Will it run on my machine?
| Setup | Runs? | Speed est. |
|---|---|---|
| 8GB GPU (RTX 4060) | No | n/a |
| 12GB GPU (RTX 3060 / 4070) | No | n/a |
| 16GB GPU (RTX 4060 Ti 16GB) | No | n/a |
| 24GB GPU (RTX 4090) | No | n/a |
| 32GB GPU (RTX 5090) | No | n/a |
| Mac 16GB (M4) | No | n/a |
| Mac 48GB (M4 Pro) | No | n/a |
| Mac 128GB (M4 Max) | Yes, Q4 | ~8 tok/s |
| PC, 32GB RAM, no GPU | No | n/a |
Best quant that fits each setup, with estimated generation speed from memory bandwidth. Real speed depends on the runtime, context length and settings.
On the best local model board (LMArena, CC BY 4.0) it ranks #5 among the open models in our finder.
FAQ
How much VRAM does Llama 3.3 70B Instruct need?
About 44 GB at Q4, 51 GB at Q5 and 76 GB at Q8, including about 1.5 GB headroom. These are estimates from the parameter count on the official model card.
Can Llama 3.3 70B Instruct run on 8GB of VRAM?
Not fully on the GPU. At Q4 it needs about 44 GB; partial CPU offload works but is much slower.
Can Llama 3.3 70B Instruct run on a Mac?
Yes. Mac 128GB (M4 Max) can run it.
Which quant of Llama 3.3 70B Instruct should I use?
Use the highest quant that fits with room to spare: Q8 is near full quality, Q5 is a good balance, and Q4 is the smallest that usually keeps quality acceptable.
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