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OPEN MODELS / Language models (LLM)

Run llama-3.3-70b-instruct-awq on a cloud GPU

llama-3.3-70b-instruct-awq is a Language models (LLM) model by casperhansen. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

Rent B200 from $12.53/hr
Parameters
71B
GPU memory needed
≈ 171 GB
License
llama3.3
Downloads
488,065
Updated Dec 6, 2024

GPUs it fits on today

Our estimate is about 171 GB for inference with I32 weights, including working memory. Real use depends on resolution, batch size and context length. With 4-bit quantization it needs about 52 GB.

GPUMemoryPer hour10 hours
B200179 GB$12.53$125.30Rent
GB200185 GB$14.26$142.60Rent
B300269 GB$17.06$170.60Rent

Live starting prices from our catalog. You pay per second while the machine runs.

How to run llama-3.3-70b-instruct-awq

  1. 01

    Rent a GPU

    Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.

  2. 02

    Open a terminal or Jupyter

    Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.

  3. 03

    Download and run the model

    Run the commands below. The weights download straight from Hugging Face to your machine.

pip install -U vllm
vllm serve casperhansen/llama-3.3-70b-instruct-awq --host 0.0.0.0 --port 8000

Why run it yourself?

Your own LLM server has no per-token bill and no rate limit, and your data stays private. Pick a GPU by memory and serve the model with vLLM.

Questions

How much GPU memory does llama-3.3-70b-instruct-awq need?
By our estimate about 171 GB for inference (71B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run llama-3.3-70b-instruct-awq?
From $12.53 per hour on B200, billed per second. Ten hours cost about $125.30.
Do I need a subscription?
No. You pay only for the time your machine runs, from your USD balance. Stop it whenever you are done.

Try it on your own GPU in minutes

Pick a GPU, open Jupyter or SSH and run any open model. You pay per second and can stop anytime; no subscription, no setup fee.

  • Per-second billing in USD
  • PyTorch and CUDA ready in minutes
  • Rent from ChatGPT or Claude too

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