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Model Memory Estimator

Estimates how much GPU or RAM a Hub model needs for inference, including KV cache, without downloading the weights.

Haarnessverifieddatavrammemoryggufsafetensorsinference

Install

  1. 1

    Get Haarness

    Free and open source. Skip this step if Haarness is already on your computer.

    Download for macOSor
    curl -fsSL https://haarness.ai/install.sh | sh

    Free and open source. Skip this step if Haarness is already on your computer.

    Download for Windowsor
    irm https://haarness.ai/install.ps1 | iex

    Free and open source. Skip this step if Haarness is already on your computer.

    Download for Linuxor
    curl -fsSL https://haarness.ai/install.sh | sh

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

  2. 2

    Add Model Memory Estimator

    Run this in a terminal. Add --global to install for every project, or --local for this project only.

    haarness marketplace install skill haarness/hf-mem

Notes

From huggingface/skills (skills/hf-mem), by huggingface. Licence: Apache-2.0. Haarness keeps it in sync with the repository; installs update themselves.

Details

Publisher
Haarness
Version
v1
License
Apache-2.0
Visibility
public
Updated
Source
github.com/huggingface/skillsskills/hf-mem · mainKept in sync · 25910b3

Versions

  • v1