HelpingAI 2.5 Rapid

HelpingAI 2.5 Rapid is a high-performance, transformer-based language model designed for advanced natural language processing. Created by Abhay Kaoul and refined by Parvesh Rawal, it evolves from a LLaMA-based architecture into a more powerful system, featuring multi-resolution attention for superior context handling and a custom tokenizer based on Xenova/llama3-tokenizer with special tokens and emojis. Optimized for single-GPU training in Google Colab, it supports text and conversational tasks, leveraging the helpingai library for ease of use. As the intellectual property of HelpingAI, it requires ethical use per the MIT License, making it ideal for researchers and developers in NLP applications.