Total runs:
51.7K
Run Growth:
-3.0K
Growth Rate:
-5.71%
Sponsored by
AdsCreator.com
Vikhrmodels / QVikhr-3-8B-Instruction
Model's Last Updated: August 06 2025
text-generation
Introduction of QVikhr-3-8B-Instruction
Model Details of QVikhr-3-8B-Instruction
QVikhr-3-8B-Instruction
Инструктивная модель на основе Qwen/Qwen3-8B , обученная на русскоязычном датасете GrandMaster2 . Создана для высокоэффективной обработки текстов на русском и английском языках, обеспечивая точные ответы и быстрое выполнение задач.
Quantized variants:
Особенности:
- 📚 Основа / Base: Qwen/Qwen3-8B
- 🇷🇺 Специализация / Specialization: RU
- 💾 Датасет / Dataset: GrandMaster2
- 🌍 Поддержка / Support: Bilingual RU/EN
Попробовать:
DOoM
| model | score | math_score | physics_score |
|---|---|---|---|
| gpt-4.1 | 0.466 | 0.584 | 0.347 |
| QVikhr-3-8B-Instruction | 0.445 | 0.563 | 0.327 |
| Qwen3-8B | 0.417 | 0.538 | 0.296 |
| Gemma 3 27B | 0.4 | 0.474 | 0.327 |
Описание / Description:
QVikhr-3-8B-Instruction — мощная языковая модель, обученная на датасете GrandMaster-2 , поддерживает генерацию инструкций, контекстные ответы и анализ текста на русском языке. Эта модель оптимизирована для задач инструктивного обучения и обработки текстов. Она подходит для использования в профессиональной среде, а также для интеграции в пользовательские приложения и сервисы.
Модель построена на базе архитектуры Qwen/Qwen3-8B и была дообучена на большом русскоязычном датасете GrandMaster2 . Такое специализированное обучение значительно улучшило её способность генерировать точные, контекстно-зависимые ответы и быстро выполнять задачи на русском языке.
Тесты производительности подтверждают значительные улучшения модели. В рейтинге «DOoM» QVikhr-3-8B-Instruction получила оценку 0.445, что существенно превосходит результат базовой модели Qwen3-8B, и приближается к модели gpt-4.1. Это доказывает её превосходные возможности для решения задач связанные с математикой и физикой на русском языке.
Обучение:
QVikhr-3-8B-Instruction была создана с использованием метода SFT (Supervised Fine-Tuning). Мы использовали синтетический датасет GrandMaster-2 .
Пример кода для запуска:
Рекомендуемая температура для генерации: 0.3 .
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load the model and tokenizer
model_name = "Vikhrmodels/QVikhr-3-8B-Instruction"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
# Prepare the input text
input_text = "Напиши краткое описание книги Гарри Поттер."
messages = [
{"role": "user", "content": input_text},
]
# Tokenize and generate text
input_ids = tokenizer.apply_chat_template(messages, truncation=True, add_generation_prompt=True, return_tensors="pt")
output = model.generate(
input_ids,
max_length=4096,
temperature=0.3,
num_return_sequences=1,
no_repeat_ngram_size=2,
top_k=50,
top_p=0.95,
)
# Decode and print result
generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(generated_text)
Авторы
- Sergei Bratchikov, NLP Wanderer , Vikhr Team
- Nikolay Kompanets, LakoMoor , Vikhr Team
- Konstantin Korolev, Vikhr Team
- Aleksandr Nikolich, Vikhr Team
Ссылки
Как цитировать
@inproceedings{nikolich2024vikhr,
title={Vikhr: Advancing Open-Source Bilingual Instruction-Following Large Language Models for Russian and English},
author={Aleksandr Nikolich and Konstantin Korolev and Sergei Bratchikov and Nikolay Kompanets and Igor Kiselev and Artem Shelmanov},
booktitle={Proceedings of the 4th Workshop on Multilingual Representation Learning (MRL) @ EMNLP-2024},
year={2024},
publisher={Association for Computational Linguistics},
url={[https://arxiv.org/pdf/2405.13929](https://arxiv.org/pdf/2405.13929)}
}
@misc{qwen3technicalreport,
title={Qwen3 Technical Report},
author={Qwen Team},
year={2025},
eprint={2505.09388},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2505.09388},
}
Runs of Vikhrmodels QVikhr-3-8B-Instruction on huggingface.co
3.9K
Total runs
0
24-hour runs
-36
3-day runs
-10
7-day runs
-10
30-day runs
More Information About QVikhr-3-8B-Instruction huggingface.co Model
Url of QVikhr-3-8B-Instruction
QVikhr-3-8B-Instruction huggingface.co Url
Provider of QVikhr-3-8B-Instruction huggingface.co
Other API from Vikhrmodels
Updated:October 25 2024
Total runs:
15.3K
Run Growth:
-3.2K
Growth Rate:
-20.65%
Total runs:
1.9K
Run Growth:
328
Growth Rate:
16.87%
Total runs:
1.1K
Run Growth:
-172
Growth Rate:
-15.57%
Total runs:
978
Run Growth:
-75.4K
Growth Rate:
-7710.63%
Total runs:
879
Run Growth:
705
Growth Rate:
80.20%
Total runs:
865
Run Growth:
173
Growth Rate:
20.00%
Total runs:
829
Run Growth:
-50
Growth Rate:
-6.03%
Total runs:
620
Run Growth:
13
Growth Rate:
2.10%
Total runs:
611
Run Growth:
434
Growth Rate:
71.03%
Total runs:
526
Run Growth:
-127
Growth Rate:
-24.14%
Total runs:
507
Run Growth:
38
Growth Rate:
7.50%
Total runs:
471
Run Growth:
113
Growth Rate:
23.99%
Total runs:
459
Run Growth:
-124
Growth Rate:
-27.02%
Total runs:
443
Run Growth:
55
Growth Rate:
12.42%
Total runs:
427
Run Growth:
-534
Growth Rate:
-125.06%
Total runs:
358
Run Growth:
145
Growth Rate:
40.50%
Total runs:
292
Run Growth:
14
Growth Rate:
4.79%
Total runs:
253
Run Growth:
211
Growth Rate:
83.40%
Total runs:
250
Run Growth:
-183
Growth Rate:
-73.20%
Total runs:
241
Run Growth:
11
Growth Rate:
4.56%
Total runs:
227
Run Growth:
-100
Growth Rate:
-44.05%
Total runs:
163
Run Growth:
-746
Growth Rate:
-457.67%
Total runs:
150
Run Growth:
-23
Growth Rate:
-15.33%
Total runs:
121
Run Growth:
-63
Growth Rate:
-52.07%
Total runs:
107
Run Growth:
70
Growth Rate:
65.42%
Total runs:
105
Run Growth:
-6
Growth Rate:
-5.71%
Total runs:
102
Run Growth:
-25
Growth Rate:
-24.51%
Total runs:
102
Run Growth:
-810
Growth Rate:
-794.12%
Total runs:
98
Run Growth:
3
Growth Rate:
3.06%
Total runs:
95
Run Growth:
76
Growth Rate:
80.00%
Total runs:
91
Run Growth:
-25
Growth Rate:
-27.47%
Total runs:
88
Run Growth:
12
Growth Rate:
13.64%
Total runs:
85
Run Growth:
26
Growth Rate:
30.59%
Total runs:
82
Run Growth:
5
Growth Rate:
6.10%
Total runs:
82
Run Growth:
5
Growth Rate:
6.10%
Total runs:
77
Run Growth:
-17
Growth Rate:
-22.08%
Total runs:
77
Run Growth:
-24
Growth Rate:
-30.77%
Total runs:
73
Run Growth:
-6
Growth Rate:
-8.22%
Total runs:
73
Run Growth:
-7
Growth Rate:
-9.59%
Total runs:
73
Run Growth:
-4
Growth Rate:
-5.48%
Total runs:
72
Run Growth:
-4
Growth Rate:
-5.71%
Total runs:
72
Run Growth:
-5
Growth Rate:
-6.94%
Total runs:
71
Run Growth:
1
Growth Rate:
1.41%
Total runs:
70
Run Growth:
-10
Growth Rate:
-14.49%
Total runs:
69
Run Growth:
-13
Growth Rate:
-18.84%
Total runs:
69
Run Growth:
-11
Growth Rate:
-15.94%
Total runs:
68
Run Growth:
-3
Growth Rate:
-4.41%
Total runs:
66
Run Growth:
-3
Growth Rate:
-4.55%
Total runs:
62
Run Growth:
-6
Growth Rate:
-9.68%
Total runs:
61
Run Growth:
-26
Growth Rate:
-42.62%
Total runs:
61
Run Growth:
21
Growth Rate:
34.43%
Total runs:
58
Run Growth:
-10
Growth Rate:
-17.24%
Total runs:
56
Run Growth:
-8
Growth Rate:
-14.29%
Total runs:
52
Run Growth:
23
Growth Rate:
44.23%
Total runs:
42
Run Growth:
23
Growth Rate:
54.76%
Total runs:
39
Run Growth:
-63
Growth Rate:
-161.54%
Total runs:
29
Run Growth:
29
Growth Rate:
100.00%
Total runs:
27
Run Growth:
-1
Growth Rate:
-3.70%
Total runs:
27
Run Growth:
-5
Growth Rate:
-18.52%
Total runs:
26
Run Growth:
6
Growth Rate:
23.08%
Total runs:
25
Run Growth:
-2
Growth Rate:
-8.00%
Total runs:
24
Run Growth:
0
Growth Rate:
0.00%
Total runs:
23
Run Growth:
21
Growth Rate:
91.30%
Total runs:
20
Run Growth:
6
Growth Rate:
30.00%
Total runs:
19
Run Growth:
5
Growth Rate:
26.32%
Total runs:
16
Run Growth:
-6
Growth Rate:
-37.50%
Total runs:
14
Run Growth:
8
Growth Rate:
57.14%
Total runs:
14
Run Growth:
5
Growth Rate:
35.71%
Total runs:
13
Run Growth:
4
Growth Rate:
30.77%
Total runs:
12
Run Growth:
4
Growth Rate:
33.33%
Total runs:
12
Run Growth:
3
Growth Rate:
25.00%
Total runs:
11
Run Growth:
7
Growth Rate:
63.64%
Total runs:
10
Run Growth:
5
Growth Rate:
50.00%
Total runs:
9
Run Growth:
0
Growth Rate:
0.00%
Total runs:
9
Run Growth:
9
Growth Rate:
100.00%
Total runs:
9
Run Growth:
5
Growth Rate:
55.56%
Total runs:
8
Run Growth:
-14
Growth Rate:
-175.00%
Total runs:
8
Run Growth:
5
Growth Rate:
62.50%