The Acrux-500M-o1-Journey is a lightweight, instruction-tuned language model fine-tuned from the Qwen2.5-0.5B-Instruct base model. With a size of 500 million parameters, it is designed for cost-effective deployment and fast text generation while maintaining quality performance for instruction-following tasks. — Base Model: Qwen2.5-0.5B-Instruct — Dataset Used for Fine-Tuning: GAIR/o1-journey — A compact dataset focusing on instruction-driven generation with 1.42k samples. 1. Setup: Download all model files, ensuring compatibility with the Hugging Face Transformers library. 4. Optimize Generation: Adjust parameters in generationconfig.json for better control of output, such as: — temperature for randomness. — topp for sampling diversity. — maxlength` for output size. To run your newly created model, use the following command in your terminal:
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: prithivMLmods
Теги: gguf, qwen2, Qwen2.5, 500M, Ollama, Llama-cpp, text-generation-inference, o1-Journey
Лайков: 3 | Загрузок: 573
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
