HS
HardwareStack

Can I run Llama 3.3 70B locally?

Not on a single consumer GPU. Even at Q4 with 8K context, Llama 3.3 70B needs about 43 GB. That takes several GPUs, a workstation card, or a machine with a lot of fast system RAM, where it runs slowly.

Memory needed by compression and context length

Compression4K context8K context32K context128K context
Q4
The most common download. Small quality loss.
42 GB43 GB51 GB81 GB
Q5
Very close to full quality.
49 GB50 GB58 GB88 GB
Q8
Practically indistinguishable from FP16 at about half the size.
72 GB73 GB81 GB111 GB
FP16
Uncompressed. Reference quality, largest size.
134 GB135 GB142 GB172 GB

Total memory: model weights, context (KV cache) and about 1 GB of runtime overhead. To run entirely on the GPU, VRAM must be about 5% larger than this.

GPUs that run Llama 3.3 70B entirely on the GPU

None of the GPUs in our database has the 46 GB of VRAM it needs at Q4.

Model facts

Parameters
70.5B
Max context
128K tokens
License
Llama 3.3 Community License
Released
Dec 2024
View on Hugging Face

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