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codefuse-ai/MFTCoder

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714 स्टार्स·69 फोर्क्स·Python·7 व्यूज़

MFTCoder

High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.

Features

  • Code Generation and Distillation - Boosts code models with multitask fine-tuning.
  • Data Curation - Boosts code-specific models using multitask fine-tuning.
  • Training and Orchestration - Framework for multi-task fine-tuning of large language models.

स्टार हिस्ट्री

codefuse-ai/mftcoder के लिए स्टार हिस्ट्री चार्टcodefuse-ai/mftcoder के लिए स्टार हिस्ट्री चार्ट

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MFTCoder के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो MFTCoder के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • ise-uiuc/magicoderI

    ise-uiuc/magicoder

    0GitHub पर देखें↗

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

    GitHub पर देखें↗0
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    openlm-research/open_llama

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    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

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    HumanSignal/labelImg

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    labelImg is a computer vision labeling tool and image bounding box annotator used to create training datasets for machine learning models. It functions as a desktop utility for drawing rectangular labels on images and saving object coordinates and class names in common machine learning formats. The tool is specifically designed to generate and edit PascalVOC formatted XML files and create image labels in the text-based format required by YOLO object detection pipelines. The software covers object detection annotation and training data preparation, including the ability to manage label catego

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  • axolotl-ai-cloud/axolotlaxolotl-ai-cloud का अवतार

    axolotl-ai-cloud/axolotl

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    Axolotl is a configuration-driven framework designed for the fine-tuning, evaluation, and quantization of large language models. It functions as a comprehensive orchestrator for distributed training, enabling users to manage complex workflows across multi-node and multi-GPU environments. By utilizing structured configuration files, the platform streamlines the setup of training parameters, dataset paths, and hardware distribution strategies. The project distinguishes itself through its support for diverse training methodologies, including full-parameter tuning, parameter-efficient adaptation,

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MFTCoder के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

codefuse-ai/mftcoder क्या करता है?

High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.

codefuse-ai/mftcoder की मुख्य विशेषताएं क्या हैं?

codefuse-ai/mftcoder की मुख्य विशेषताएं हैं: Code Generation and Distillation, Data Curation, Training and Orchestration।

codefuse-ai/mftcoder के कुछ ओपन-सोर्स विकल्प क्या हैं?

codefuse-ai/mftcoder के ओपन-सोर्स विकल्पों में शामिल हैं: ise-uiuc/magicoder — 🎩  Models | 📚  Dataset | 🚀  Quick Start | 👀  Demo | 📝  Citation | 🙏 … 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… axolotl-ai-cloud/axolotl — Axolotl is a configuration-driven framework designed for the fine-tuning, evaluation, and quantization of large… continualai/avalanche — Avalanche: an End-to-End Library for Continual Learning based on PyTorch. combust/mleap — MLeap: Deploy ML Pipelines to Production.