π© Models | π Dataset | π Quick Start | π Demo | π Citation | π Acknowledgements
The main features of ise-uiuc/magicoder are: Code Generation and Distillation, Data Curation, Instruction Tuning.
Open-source alternatives to ise-uiuc/magicoder include: codefuse-ai/mftcoder β High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024. thunlp/ultrachat β UltraChat is a collection of large-scale conversational datasets and instruction-tuning data designed for training andβ¦ sahil280114/codealpaca β This is the repo for the Code Alpaca project, which aims to build and share an instruction-following LLaMA model forβ¦ openlm-research/open_llama β Open Llama is an open source large language model and pre-trained transformer designed as a permissively licensedβ¦ humansignal/labelimg β labelImg is a computer vision labeling tool and image bounding box annotator used to create training datasets forβ¦ facebookresearch/codellama β Code Llama is a large language model based on Llama 2 trained specifically for programming tasks and softwareβ¦
This is the repo for the Code Alpaca project, which aims to build and share an instruction-following LLaMA model for code generation. This repo is fully based on Stanford Alpaca ,and only changes the data used for training. Training approach is the same.
UltraChat is a collection of large-scale conversational datasets and instruction-tuning data designed for training and evaluating generative AI models. It provides structured JSON data consisting of complex, multi-round dialogue sequences intended to refine the performance of large language models in chat tasks. The project focuses on improving reasoning and response quality through a diverse set of interactions across multiple sectors. These datasets are used for supervised fine-tuning and instruction tuning workflows to improve how models follow complex directions and maintain context acros
High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.
Open Llama is an open source large language model and pre-trained transformer designed as a permissively licensed alternative to proprietary weights. It serves as a base model reproduction of the Llama architecture, providing a set of weights for a decoder-only transformer. The project provides a transparently trained model based on the RedPajama dataset, supporting unrestricted commercial and research use. It includes systems for serving pre-trained weights in various sizes. The project covers natural language processing research and performance benchmarking through text quality evaluation