Meta-chunker-1.5B-60K

<h1 align="center"> MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System </h1> <p align="center"> <a href="https://arxiv.org/abs/2503.09600"> <img alt="arXiv Paper" src="https://img.shields.io/badge/arXiv-Paper-b31b1b.svg?logo=arxiv"> </a> <a href="https://huggingface.co/papers/2503.09600"> <img src="https://img.shields.io/badge/Huggingface-Paper-yellow?style=flat-square&logo=huggingface"> </a> <a href="https://huggingface.co/datasets/Robot2050/Meta-chunker"> <img src="https://img.shields.io/badge/Huggingface-Dataset-FF6F00?style=flat-square&logo=huggingface"> </a> <a href="https://huggingface.co/Robot2050/Meta-chunker-1.5B"> <img src="https://img.shields.io/badge/Model-1.5B 20K-FF6F00?style=flat-square&logo=huggingface"> </a> <a href="https://huggingface.co/Robot2050/Meta-chunker-1.5B-60K"> <img src="https://img.shields.io/badge/Model-1.5B 60K-FF6F00?style=flat-square&logo=huggingface"> </a> <a href="https://opensource.org/license/apache-2-0"> <img alt="Apache 2.0 License" src="https://img.shields.io/badge/License-Apache_2.0-green.svg?logo=apache"> </a> </p>

The Meta-chunker-1.5B-60K was fully fine-tuned on the Qwen2.5-1.5B-Instruct utilizing 60K data entries from the CRUD_MASK.jsonl and WanJuan1_MASK.jsonl, which were prepared with GPT-4o and ERNIE-3.5-128K, respectively.