Papers › TinyLlama: An Open-Source Small Language Model

TinyLlama: An Open-Source Small Language Model

4 Jan 2024arXiv:2401.02385archive 2025-07-28

Peiyuan Zhang, Guangtao Zeng, Tianduo Wang, Wei Lu

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 and Lit-GPT), 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.

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