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Download README.md from tanmaypathak4/launchready: direct link, hf CLI and curl.
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https://huggingface.co/spaces/tanmaypathak4/launchready/resolve/main/README.md
- Command line
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hf download hf://spaces/tanmaypathak4/launchready/README.md
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curl -L -o README.md https://huggingface.co/spaces/tanmaypathak4/launchready/resolve/main/README.md
801 Bytes
metadata
title: LaunchReady
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 6.31.0
python_version: '3.11'
app_file: app.py
license: apache-2.0
short_description: Will this open model fit in your NVIDIA GPU's memory?
LaunchReady
Will this open model run on my NVIDIA GPU?
Think of the model as a stack of papers and your GPU's memory as a desk. LaunchReady works out whether the stack fits on the desk, with room left for everyone using it, before you download it.
Enter a Hugging Face model, a GPU, a context length and a number of users, and get a plain-English answer about memory. Results are projected, not measured, and cover memory only, not speed. No model weights are downloaded.