TinyLlama Project: Training a 1.1B Parameter LLM on 3 Trillion Tokens

The TinyLlama project is a significant undertaking, as it seeks to pretrain a model of substantial size on a massive dataset. This could result in a more accessible and potentially more efficient LLM compared to larger models.

• •The project focuses on pretraining a smaller, 1.1B parameter Llama model.
• •The model will be trained on an extensive 3 trillion token dataset.
• •This may offer a balance between model size and performance compared to larger LLMs.