LLM RAM Requirement Calculator
by RayFernando1337 · io.github.rayfernando1337.llm-calc
Not TrustedWeb appUnrated★ 258 stars
Instantly calculate the maximum size of quantized language models that can fit…
Instantly calculate the maximum size of quantized language models that can fit in your available RAM, helping you optimize your models for inference.
Screenshots
About
This project is a React + TypeScript + Vite application that calculates the maximum number of parameters that can fit in RAM for different quantization levels of large language models (LLMs). - Calculate maximum parameters based on available RAM, OS usage, context window size, and quantization level - Interactive UI built with React and TypeScript - Fast development with Vite and Hot Module Replacement (HMR) - Styling with Tailwind CSS 4. Open your browser and navigate to http://localhost:5173 (or the port specified in the console output). LLM RAM Requirement Calculator is the open-source project RayFernando1337/LLM-Calc (https://github.com/RayFernando1337/LLM-Calc) by RayFernando1337, released under MIT. Ion packages it unmodified from commit 90ad41ab60c5, adding only a manifest, an icon and a storage compatibility script.
Source
Written by RayFernando1337, published to Oikou by Ben Grande.
- ★ 258 stars on GitHub
- Licence: MIT
- Built from commit 90ad41ab60c5
Age rating
Not rated. Nobody has said who this app is suitable for, so Personal Clouds and the Oikou app treat it as 18+.
What version 0.20260930.0 may do
Internet
It asks to reach these hosts, and no others:
- fonts.gstatic.com
- fonts.googleapis.com
- llm-calc.rayfernando.ai
- llm-calc.vercel.ai
Personal Cloud tools
None. It uses nothing from your Personal Cloud beyond its own storage.
Notifications
It does not send push notifications.
Storage
Up to 16 MB on your Personal Cloud.
Add to Personal Cloud
Sign in to add this web app to a Personal Cloud of yours. It runs there, on your own computer, and you open it from there; nothing is installed on your phone.
Versions
0.20260930.0 Latest Shown above
Published · a ready-built bundle
Imported from RayFernando1337/LLM-Calc at 90ad41ab60c5.