We have a Qwen 2.5 (all model sizes) free Google Colab Tesla T4 notebook. Also a Qwen 2.5 conversational style notebook. All notebooks are beginner friendly! Add your dataset, click «Run All», and you’ll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face. — This conversational notebook is useful for ShareGPT ChatML / Vicuna templates. — This text completion notebook is for raw text. This DPO notebook replicates Zephyr. — * Kaggle has 2x T4s, but we use 1. Due to overhead, 1x T4 is 5x faster. > [!Warning] > > > 🚨 Qwen2.5-Math mainly supports solving English and Chinese math problems through CoT and TIR. We do not recommend using this series of models for other tasks. > > In August 2024, we released the first series of mathematical LLMs — Qwen2-Math — of our Qwen family. A month later, we have upgraded it and open-sourced Qwen2.5-Math series, including base models Qwen2.5-Math-1.5B/7B/72B, instruction-tuned models Qwen2.5-Math-1.5B/7B/72B-Instruct, and mathematical reward model Qwen2.5-Math-RM-72B. Unlike Qwen2-Math series which only supports using Chain-of-Thught (CoT) to solve English math problems, Qwen2.5-Math series is expanded…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям Математика
Задача: Генерация текста
Автор: unsloth
Теги: qwen2, unsloth, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 29
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
