This is quantized version of TechxGenus/CursorCore-QW2.5-7B created using llama.cpp [📄arXiv] | [🤗HF Paper] | [🤖Models] | [🛠️Code] | [Web] | [Discord] — CursorCore: Assist Programming through Aligning Anything — Introduction — Models — Usage — 1) Normal chat — 2) Assistant-Conversation — 3) Web Demo — Future Work — Citation — Contribution CursorCore is a series of open-source models designed for AI-assisted programming. It aims to support features such as automated editing and inline chat, replicating the core abilities of closed-source AI-assisted programming tools like Cursor. This is achieved by aligning data generated through Programming-Instruct. Please read our paper to learn more. Our models have been open-sourced on Hugging Face. You can access our models here: CursorCore-Series. We also provide pre-quantized weights for GPTQ and AWQ here: CursorCore-Quantization In our work, we introduce a new framework of AI-assisted programming task. It is designed for aligning anything during programming process, used for the implementation of features like Tab and Inline Chat. python def quicksort(arr): if len(arr) pivot] return quicksort(left) + middle + quicksort(right) python def…
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат
Задача: Генерация текста
Автор: QuantFactory
Теги: gguf, code, endpoints_compatible, conversational
Лайков: 3 | Загрузок: 909
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
