This page provides a detailed walkthrough on creating a fine-tuning dataset for a language model using the QLoRA technique. It includes references to essential resources such as the fine-tuning code, a 5000-step adapter named Walls1337bot, and a dataset compiled from WallStreetBets (WSB) content. Additionally, it links to an extensive collection of Reddit comments, providing a broad data source for training purposes.
The page is part of a larger platform that aggregates video news from YouTube, emphasizing user privacy by collecting only minimal technical data without requiring account registration. It clarifies that video content is sourced directly from YouTube through their Data API, and users are subject to YouTube’s privacy policies when accessing videos. The platform uses only essential cookies and does not employ tracking for advertising, and it respects user rights under GDPR, including options to access or delete personal data.