TinyLlama: An Open-Source Small Language Model

Zhang Peiyuan, GtZeng, Tianduo Wang, Wei Lu

TinyLlama: An Open-Source Small Language Model: 95 upvotes on Hugging Face Daily Papers, #1 of 14 papers on 2024-01-05. Day-by-day upvote history.

We present TinyLlama, a compact 1.1B language model pretrained on around 1 trillion tokens for approximately 3 epochs. Building on the architecture and tokenizer of Llama 2, TinyLlama leverages various advances contributed by the open-source community (e.g., FlashAttention), achieving better computational efficiency. Despite its relatively small size, TinyLlama demonstrates remarkable performance in a series of downstream tasks. It significantly outperforms existing open-source language models with comparable sizes. Our model checkpoints and code are publicly available on GitHub at https://github.com/jzhang38/TinyLlama.

Paper page on Hugging Face · arXiv

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