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An open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens
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What is TinyLlama?

It aims to pre-train a 1.1 billion parameter language model on 3 trillion tokens of text data. It is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.
TinyLlama is a tool in the Large Language Models category of a tech stack.
TinyLlama is an open source tool with 6.2K GitHub stars and 335 GitHub forks. Here’s a link to TinyLlama's open source repository on GitHub

TinyLlama's Features

  • 1.1 billion parameter language model
  • Trained on 3 trillion tokens of text data
  • Uses the same architecture and tokenizer as Llama 2
  • Compact and fast

TinyLlama Alternatives & Comparisons

What are some alternatives to TinyLlama?
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