43 lines
1.8 KiB
Markdown
43 lines
1.8 KiB
Markdown
|
---
|
|||
|
|
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](https://huggingface.co/Vikhrmodels/Vikhr-Qwen-2.5-0.5B-instruct)
|
|||
|
|
|
|||
|
|
**Рекомендуемая температура для генерации: 0.3** / **Recommended generation temperature: 0.3**.
|
|||
|
|
|
|||
|
|
### Авторы / Authors
|
|||
|
|
- Sergei Bratchikov, [NLP Wanderer](https://t.me/nlpwanderer), [Vikhr Team](https://t.me/vikhrlabs)
|
|||
|
|
- Nikolay Kompanets, [LakoMoor](https://t.me/lakomoor), [Vikhr Team](https://t.me/vikhrlabs)
|
|||
|
|
- Konstantin Korolev, [Vikhr Team](https://t.me/vikhrlabs)
|
|||
|
|
- Aleksandr Nikolich, [Vikhr Team](https://t.me/vikhrlabs)
|
|||
|
|
```
|
|||
|
|
@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}
|
|||
|
|
}
|