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. Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). For Qwen2.5-Coder, we release three base language models and instruction-tuned language models, 1.5, 7 and 32 (coming soon) billion parameters. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: — Significantly improvements in code generation, code reasoning and code fixing. Base on the strong Qwen2.5, we scale up the training tokens into 5.5 trillion including source code, text-code grounding, Synthetic data, etc. — A more comprehensive foundation for real-world applications such as Code Agents. Not only enhancing coding…
Модальности:
Генерация текста
Области применения:
Диалог / чат Генерация кода Следование инструкциям
Задача: Генерация текста
Автор: unsloth
Теги: qwen2, unsloth, conversational, en, text-generation-inference, endpoints_compatible, 4-bit, bitsandbytes
Лайков: 3 | Загрузок: 18,066
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
