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RenzeLou avatar

RenzeLou/Muffin

0
View on GitHub↗
16 stars·3 forks·Python·MIT·6 viewsrenzelou.github.io/Muffin↗

Muffin

This repository contains the source code for reproducing the data curation of MUFFIN (Multi-faceted Instructions).

Features

  • Instruction Tuning - Curates multi-faceted instructions to enhance following capabilities.

Star history

Star history chart for renzelou/muffinStar history chart for renzelou/muffin

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Muffin

These projects share indexed features with Muffin. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • bigscience-workshop/promptsourcebigscience-workshop avatar

    bigscience-workshop/promptsource

    3,025View on GitHub↗

    Toolkit for creating, sharing and using natural language prompts.

    Python
    View on GitHub↗3,025
  • bigscience-workshop/xmtfbigscience-workshop avatar

    bigscience-workshop/xmtf

    536View on GitHub↗

    This repository provides an overview of all components used for the creation of BLOOMZ & mT0 and xP3 introduced in the paper Crosslingual Generalization through Multitask Finetuning. Link to 25min video on the paper by Samuel Albanie; Link to 4min video on the paper by Niklas Muennighoff.

    Jupyter Notebook
    View on GitHub↗536
  • facebookresearch/metaseqfacebookresearch avatar

    facebookresearch/metaseq

    6,546View on GitHub↗

    Metaseq is a transformer sequence modeling toolkit designed for training, fine-tuning, and deploying sequence-to-sequence models using open pre-trained weights. It provides a comprehensive framework for large language model training, including dedicated tools for sequence dataset processing and a standalone inference server for generating text via API requests. The project features specialized utilities for model quantization to reduce parameter precision to eight bits, which lowers memory usage and increases inference speed. It also includes a checkpoint conversion pipeline to transform mode

    Python
    View on GitHub↗6,546
  • bigcode-project/octopackbigcode-project avatar

    bigcode-project/octopack

    478View on GitHub↗

    This repository provides an overview of all components from the paper OctoPack: Instruction Tuning Code Large Language Models. Link to 5-min video on the paper presented by Niklas Muennighoff.

    Jupyter Notebook
    View on GitHub↗478
Compare all 23 related projects→

Frequently asked questions

What does renzelou/muffin do?

This repository contains the source code for reproducing the data curation of MUFFIN (Multi-faceted Instructions).

What are the main features of renzelou/muffin?

The main features of renzelou/muffin are: Instruction Tuning.

Which projects share features with renzelou/muffin?

Projects with overlapping indexed features include: bigscience-workshop/promptsource — Toolkit for creating, sharing and using natural language prompts. bigscience-workshop/xmtf — This repository provides an overview of all components used for the creation of BLOOMZ & mT0 and xP3 introduced in the… facebookresearch/metaseq — Metaseq is a transformer sequence modeling toolkit designed for training, fine-tuning, and deploying… google-research/flan — Original Flan (2021) | The Flan Collection (2022) | Flan 2021 Citation | License. google-research/text-to-text-transfer-transformer — This is a machine learning framework for treating diverse natural language processing tasks as a unified text-to-text… bigcode-project/octopack — This repository provides an overview of all components from the paper OctoPack: Instruction Tuning Code Large Language…