Open NotebookLM by Gabriel Chua

Convert any PDF into a personalized podcast using open-source LLMs and TTS models. Powered by Fireworks-hosted Llama 3.1, MeloTTS, and Bark, this app generates engaging dialogue and outputs it as an MP3 file via a user-friendly Gradio interface.

Fast Apply - Data Generation & Fine-Tuning Qwen2.5 Coder

High-throughput code generation with Qwen2.5 Coder models, optimized for fast inference on Fireworks. Includes a robust pipeline for data creation, fine-tuning with Unsloth, and real-time application in AI-powered code editors.

ProoferX by Nehil Jain & Selvam Palanimalai

Ensure accurate and reliable technical documentation with ProoferX, built using Fireworks’ fast Llama models and Firefunc for structured output. This project addresses a key challenge in developer tools by validating and streamlining documentation with real-time checks.

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Community project submissions

We welcome your contributions to the Fireworks Cookbook! Share your projects and help expand our collaborative resource. Here’s how:

  1. Clone the Repo: Fireworks Cookbook and go to showcase.
  2. Create Folder: Add a folder named after your project.
  3. Include Code: Add notebooks, apps, or other resources demonstrating your project.
  4. Complete Template: Fill out the Showcase Template for key project details.
  5. Submit PR: Submit your project as a pull request.
  6. Review & Feature: Our team will review your submission; selected projects may be highlighted in docs or social media.

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Support

For help or feedback:

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