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). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. 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. Qwen2.5-Coder-32B has become the current state-of-the-art open-source codeLLM, with its coding abilities…
Модальности:
Генерация текста
Области применения:
Генерация кода
Задача: Генерация текста
Автор: unsloth
Теги: qwen2, unsloth, code, qwen, qwen-coder, codeqwen, en, text-generation-inference
Лайков: 3 | Загрузок: 503
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
