README.md

metadata

base_model:
  - Qwen/Qwen2.5-Coder-7B
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
tags:
  - code

QuantFactory/CursorCore-QW2.5-7B-GGUF

This is quantized version of TechxGenus/CursorCore-QW2.5-7B created using llama.cpp

Original Model Card

This model is based on the work described in the paper: CursorCore: Assist Programming through Aligning Anything.

CursorCore: Assist Programming through Aligning Anything

[📄arXiv] | [🤗HF Paper] | [🤖Models] | [🛠️Code] | [Web] | [Discord]

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• CursorCore: Assist Programming through Aligning Anything
  • Introduction
  • Models
  • Usage
    • 1) Normal chat
    • 2) Assistant-Conversation
    • 3) Web Demo
  • Future Work
  • Citation
  • Contribution

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Introduction

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后再 再