> Note: This project represents a series of experimental attempts to create specialized Sanskrit language models. While significant effort was invested, the results did not meet the quality standards required for practical use. This repository is maintained for research documentation and learning purposes. This model is a fine-tuned version of Qwen/Qwen2.5-7B specialized for Sanskrit language modeling and text generation. The model has been trained on a comprehensive dataset of 664,104+ clean Sanskrit texts from classical literature, enhanced with Sanskrit-specific punctuation tokens and optimized for coherent Sanskrit text generation. This is a specialized Sanskrit language model built on the Qwen2.5-7B architecture, designed specifically for Sanskrit text generation, completion, and understanding tasks. Key Features: — Base Model: Qwen/Qwen2.5-7B (7 billion parameters) — Training Method: LoRA fine-tuning with custom Sanskrit tokenizer — Language: Sanskrit (Devanagari script) — Task: Text generation, completion, and language modeling — Architecture: Transformer-based with LoRA adapters Capabilities: — Sanskrit Text Generation: Generate coherent Sanskrit verses and prose — Text…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: diabolic6045
Теги: qwen2, axolotl, sanskrit, language-model, conversational, sa, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 88
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
