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LLM Warehouse is a platform for showcasing LLMs, allowing users to explore each model and try them out using the web-app interface.

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LLM Warehouse 🛍️

LLM Warehouse is a platform for showcasing LLMs, allowing users to explore each model and try them out using the web-app interface.

Description ℹ️

LLM Warehouse provides a convenient platform for users to browse, explore, and test LLMs (Large Language Models). Users can easily navigate through different models, view details about each model, and even try them out directly within the web application.

Features ✨

  • Model Exploration: Users can browse through a collection of LLMs and view details such as author, likes, downloads, and tags.
  • Model Testing: Users can try out selected LLMs directly within the web application, allowing them to experience the model's capabilities firsthand.
  • Model Submission: Users can submit their own LLMs to be showcased on the platform, contributing to the community of model creators and enthusiasts.

Technologies Used 🛠️

  • Next.js: Next.js was chosen for its server-side rendering capabilities, which enhance performance and SEO for the web application.
  • TypeScript: TypeScript adds static typing to the project, enhancing code quality and developer productivity.
  • Tailwind CSS: Tailwind CSS provides a utility-first approach to styling, enabling rapid development and easy maintenance of the application's UI.
  • Recoil: Recoil is used for state management, providing a simple and efficient way to manage and share application state across components.
  • ShadCN: ShadCN is used for building reusable components, reducing development time and ensuring consistency across the application.
  • Lucid React: Lucid React provides a collection of high-quality icons, enhancing the visual appeal and usability of the application.

Getting Started 💻

To get started with LLM Warehouse, follow these steps:

  1. Clone the repository: git clone https://github.com/aryandutt/llm-warehouse.git
  2. Change the directory: cd llm-warehouse
  3. Install dependencies: npm install
  4. Start the development server: npm run dev
  5. Open your browser and navigate to http://localhost:3000

Performance 🚀

Check out the performance analysis of LLM Warehouse on PageSpeed Insights to optimize loading times and enhance user experience.

Hosted Link 🌐

The LLM Warehouse web application is hosted at https://llm-warehouse.vercel.app/.

About

LLM Warehouse is a platform for showcasing LLMs, allowing users to explore each model and try them out using the web-app interface.

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