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ise-uiuc/magicoder

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Magicoder

🎩  Models | 📚  Dataset | 🚀  Quick Start | 👀  Demo | 📝  Citation | 🙏  Acknowledgements

Features

  • Code Generation and Distillation - Enhances code generation using instructional data.
  • Data Curation - Refines code generation data for improved instruction tuning.
  • Instruction Tuning - Instruction-tuned models using high-quality synthetic data.

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Häufig gestellte Fragen

Was macht ise-uiuc/magicoder?

🎩  Models | 📚  Dataset | 🚀  Quick Start | 👀  Demo | 📝  Citation | 🙏  Acknowledgements

Was sind die Hauptfunktionen von ise-uiuc/magicoder?

Die Hauptfunktionen von ise-uiuc/magicoder sind: Code Generation and Distillation, Data Curation, Instruction Tuning.

Welche Open-Source-Alternativen gibt es zu ise-uiuc/magicoder?

Open-Source-Alternativen zu ise-uiuc/magicoder sind unter anderem: codefuse-ai/mftcoder — High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024. thunlp/ultrachat — UltraChat is a collection of large-scale conversational datasets and instruction-tuning data designed for training and… sahil280114/codealpaca — This is the repo for the Code Alpaca project, which aims to build and share an instruction-following LLaMA model for… openlm-research/open_llama — Open Llama is an open source large language model and pre-trained transformer designed as a permissively licensed… humansignal/labelimg — labelImg is a computer vision labeling tool and image bounding box annotator used to create training datasets for… facebookresearch/codellama — Code Llama is a large language model based on Llama 2 trained specifically for programming tasks and software…