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OPEN MODELS / Speech to text

Run whisper-base-gguf on a cloud GPU

whisper-base-gguf is a Speech to text model by handy-computer. 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 GTX 1650 from $0.13/hr
Parameters
70M
GPU memory needed
≈ 2 GB
License
apache-2.0
Downloads
14,390
Updated Oct 16, 2026

GPUs it fits on today

Our estimate is about 2 GB for inference with GGUF weights, including working memory. Real use depends on resolution, batch size and context length.

GPUMemoryPer hour10 hours
GTX 16504 GB$0.13$1.30Rent
GTX 10708 GB$0.14$1.40Rent
GTX 16606 GB$0.14$1.40Rent
GTX 1660 S6 GB$0.14$1.40Rent
RTX A20006 GB$0.15$1.50Rent

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

How to run whisper-base-gguf

  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 "huggingface_hub[cli]"
huggingface-cli download handy-computer/whisper-base-gguf --local-dir ./model --include "*Q4_K_M*"
# llama.cpp: ./llama-server -m ./model/*.gguf --host 0.0.0.0 --port 8000

Why run it yourself?

Transcribe hours of audio for the cost of the GPU minutes it takes. Recordings never leave your machine.

Questions

How much GPU memory does whisper-base-gguf need?
By our estimate about 2 GB for inference (70M parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run whisper-base-gguf?
From $0.13 per hour on GTX 1650, billed per second. Ten hours cost about $1.30.
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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