This is Qwen/Qwen2.5-Coder-32B-Instruct quantized with AutoRound (symmetric quantization) and serialized with the GPTQ format in 4-bit. The model has been created, tested, and evaluated by The Kaitchup. Details on the quantization process and how to use the model here: The Best Quantization Methods to Run Llama 3.1 on Your GPU It is possible to fine-tune an adapter on top of it following the QLoRA methodology. More about this here: QLoRA with AutoRound: Cheaper and Better LLM Fine-tuning on Your GPU — Developed by: The Kaitchup — Language(s) (NLP): English — License: Apache 2.0 license
Модальности:
Генерация текста
Области применения:
Диалог / чат Генерация кода Следование инструкциям
Задача: Генерация текста
Автор: kaitchup
Теги: qwen2, auto-gptq, AutoRound, conversational, en, text-generation-inference, endpoints_compatible, 4-bit
Лайков: 3 | Загрузок: 23
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
