arXiv:2401.02385 공식 코드 · Papers with Code

TinyLlama: An Open-Source Small Language Model

Peiyuan Zhang, Guangtao Zeng, Tianduo Wang, Wei Lu

제출 2024-01-04

원문 초록

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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arXiv:2506.14084공통 태그 Language Modeling, Language Modelling, Small Language Model공식 코드 · Papers with Code

Lightweight Relevance Grader in RAG

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