This model is a general-purpose transformer-based language model designed for tasks such as text generation, story writing, and conversational interactions. It leverages multiple curated datasets to enhance its storytelling, coding, and question-answering capabilities. This project is intended for academic research and educational purposes only. It is designed for experimentation, learning, and development of language-based AI systems. The model was developed with a focus on balancing performance and computational efficiency. It employs flash attention and other optimizations to improve memory efficiency and speed. — Developed by: amusktweewt — Model type: LlamaForCausalLM — Architectural Details: — 12 layers — 16 attention heads — Hidden size: 1536 — Flash attention 2 enabled — Dynamic RoPE scaling — License: MIT — Language(s) (NLP): English This model is intended for text generation, code completion, chat-based applications, and story writing. — Tasks requiring high factual accuracy — Math or thinking related tasks — Applications involving sensitive content without human review The model was trained on a diverse collection of datasets, including: — Textbooks and academic content…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: amusktweewt
Теги: llama, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 79
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
