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Model: Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r Source: Original Platform
2026-06-16 17:28:14 +08:00
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--- a/README.md
+++ b/README.md
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+---
+library_name: transformers
+model_name: Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r
+base_model:
+- Qwen/Qwen2.5-1.5B
+language:
+- ru
+- en
+license: apache-2.0
+datasets:
+- Vikhrmodels/russian_math
+- openai/gsm8k
+---
+
+# 💨 QVikhr-2.5-1.5B-Instruct-r
+
+Инструктивная модель на основе **QVikhr-2.5-1.5B-Instruct-r**, обученная на русскоязычном датасете **ru Math**. 
+
+## Quantized variants:
+ - [GGUF](https://hf.co/Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r_GGUF)
+ - MLX
+   - [4 bit](https://huggingface.co/Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r_MLX-4bit)
+   - [8 bit](https://huggingface.co/Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r_MLX-8bit)
+
+## Особенности:
+
+- 📚 Основа: [QVikhr-2.5-1.5B-Instruct-r](https://huggingface.co/Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r)
+- 🇷🇺 Специализация: **RU**
+- 🌍 Поддержка: **Bilingual RU/EN**
+
+## Описание:
+
+**Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r** представляет собой языковую модель, прошедшую специализированное обучение с использованием метода **RuMath**. 
+
+
+
+## Обучение:
+
+### Этап алайнмента с GRPO
+Обучили на https://huggingface.co/datasets/Vikhrmodels/russian_math и GSM8k
+
+## Пример кода для запуска:
+
+**Рекомендуемая температура для генерации: 0.4**.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+model_name = "Vikhrmodels/QVikhr-2.5-1.5B-Instruct-r"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Prepare the input text
+SYSTEM_PROMPT = """
+Отвечай в таком формате:
+<reasoning>
+...
+</reasoning>
+<answer>
+...
+</answer>
+"""
+
+input_text = "Напиши краткое описание книги Гарри Поттер."
+
+messages = [
+    {'role': 'system', 'content': SYSTEM_PROMPT},
+    {"role": "system", "content": "Вы — Vikhr, ИИ помощник, созданный компанией Vikhr models для предоставления полезной, честной и безопасной информации."},
+    {"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=1512,
+    temperature=0.4,
+)
+
+# Decode and print result
+generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
+print(generated_text)
+```
+
+#### Ответ модели:
+
+>**Краткое описание книги "Гарри Поттер"**
+
+>"Гарри Поттер" – это серия книг о мальчике-волшебнике, который обнаруживает в себе силу волшебства после того, как его семья умирает от злого колдуна Драко Малфоя. Главный герой, Гарри Поттер, живёт с родителями на окраине Хогвартса, школы магии и волшебства.
+>В детстве Гарри встречает своего лучшего друга Рона Уизли и его тётку Гермиону Грейнджер. Они вместе отправляются в Хогвартс, где начинают учиться волшебству. В ходе учебы Гарри знакомится с другими учениками: Слизеринами (главные антагонисты) и Хогвартсом как место обучения магии.
+>Самым важным событием в жизни Гарри становится то, что он узнаёт о своем происхождении – он является последним из семьи Поттеров, которые когда-то владели всеми знаниями о волшебстве. Это знание открывает ему путь к своей миссии – борьбе против темных сил, которые стремятся уничтожить волшебство.
+>По мере развития сюжета Гарри сталкивается с различными препятствиями, включая преследование со стороны Драко Малфоя и его друзей, а также внутренние конфликты внутри самого Хогвартса. Однако благодаря поддержке своих друзей и новых знакомых, таких как Философский камень, Гарри продолжает свой путь к победе над темными силами.
+>В конце концов, Гарри и его друзья успешно борются с темными силами, восстанавливают мир в Хогвартсе и получают признание за свои поступки. Книги завершаются тем, что Гарри готовится стать волшебником, но его будущее ещё не определено.
+
+### Авторы
+
+- Sergei Bratchikov, [NLP Wanderer](https://t.me/nlpwanderer), [Vikhr Team](https://t.me/vikhrlabs)
+- Aleksandr Nikolich, [Vikhr Team](https://t.me/vikhrlabs)
+- Nikolay Kompanets, [LakoMoor](https://t.me/lakomoordev), [Vikhr Team](https://t.me/vikhrlabs)
+- Konstantin Korolev, [Vikhr Team](https://t.me/vikhrlabs)
+
+
+```
+@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}
+}
+```
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--- a/config.json
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+}
--- a/vocab.json
+++ b/vocab.json
				`@@ -0,0 +1 @@`
				`{"framework": "pytorch", "task": "text-generation", "allow_remote": true}`