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--- |
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library_name: llamacpp |
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model_name: Vikhr-Qwen-2.5-0.5B-instruct |
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base_model: |
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- Vikhrmodels/Vikhr-Qwen-2.5-0.5B-instruct |
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language: |
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- ru |
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- en |
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license: apache-2.0 |
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tags: |
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- instruct |
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datasets: |
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- Vikhrmodels/GrandMaster-PRO-MAX |
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pipeline_tag: text-generation |
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--- |
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# 💨📟 Vikhr-Qwen-2.5-0.5B-Instruct |
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#### RU |
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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. |
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#### EN |
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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. |
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- [HF model](https://huggingface.co/Vikhrmodels/Vikhr-Qwen-2.5-0.5B-instruct) |
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**Рекомендуемая температура для генерации: 0.3** / **Recommended generation temperature: 0.3**. |
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### Авторы / Authors |
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- Sergei Bratchikov, [NLP Wanderer](https://t.me/nlpwanderer), [Vikhr Team](https://t.me/vikhrlabs) |
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- Nikolay Kompanets, [LakoMoor](https://t.me/lakomoor), [Vikhr Team](https://t.me/vikhrlabs) |
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- Konstantin Korolev, [Vikhr Team](https://t.me/vikhrlabs) |
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- Aleksandr Nikolich, [Vikhr Team](https://t.me/vikhrlabs) |
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``` |
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@article{nikolich2024vikhr, |
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title={Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian}, |
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author={Aleksandr Nikolich and Konstantin Korolev and Sergey Bratchikov and Nikolay Kompanets and Artem Shelmanov}, |
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journal={arXiv preprint arXiv:2405.13929}, |
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year={2024}, |
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url={https://arxiv.org/pdf/2405.13929} |
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} |
