metadata

library_name: llamacpp
model_name: Vikhr-Qwen-2.5-0.5B-instruct
base_model:
  - Vikhrmodels/Vikhr-Qwen-2.5-0.5B-instruct
language:
  - ru
  - en
license: apache-2.0
tags:
  - instruct
datasets:
  - Vikhrmodels/GrandMaster-PRO-MAX
pipeline_tag: text-generation

💨📟 Vikhr-Qwen-2.5-0.5B-Instruct

RU

Инструктивная модель на основе Qwen-2.5-0.5B-Instruct, обученная на русскоязычном датасете GrandMaster-PRO-MAX. В 4 раза эффективнее базовой модели, и идеально подходит для запуска на слабых мобильных устройствах.

EN

Instructive model based on Qwen-2.5-0.5B-Instruct, trained on the Russian-language dataset GrandMaster-PRO-MAX. It is 4 times more efficient than the base model, making it perfect for deployment on low-end mobile devices.

HF model

Рекомендуемая температура для генерации: 0.3 / Recommended generation temperature: 0.3.

Авторы / Authors

Sergei Bratchikov, NLP Wanderer, Vikhr Team
Nikolay Kompanets, LakoMoor, Vikhr Team
Konstantin Korolev, Vikhr Team
Aleksandr Nikolich, Vikhr Team

@article{nikolich2024vikhr,
  title={Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian},
  author={Aleksandr Nikolich and Konstantin Korolev and Sergey Bratchikov and Nikolay Kompanets and Artem Shelmanov},
  journal={arXiv preprint arXiv:2405.13929},
  year={2024},
  url={https://arxiv.org/pdf/2405.13929}
}