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dolly

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Project Description

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

dolly: Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Project Title

Dolly — A Large Language Model for Instruction Following and Databricks ML Platform

Overview

Dolly is a large language model developed by Databricks, trained on their machine learning platform, and licensed for commercial use. It is based on pythia-12b and fine-tuned on a dataset of instruction-response pairs, exhibiting high-quality instruction following behavior. Dolly stands out for its focus on instruction following and its training on a specialized dataset generated by Databricks employees.

Key Features

  • Instruction following capabilities based on a dataset of 15k records
  • Fine-tuned on a specialized corpus generated by Databricks employees
  • Available on Hugging Face for easy integration and use

Use Cases

  • Data scientists and machine learning engineers using Dolly for tasks requiring instruction following and natural language understanding
  • Enterprises leveraging Dolly for tasks such as data analysis, summarization, and information extraction within the Databricks ecosystem
  • Researchers and developers exploring the capabilities of large language models in a commercial setting

Advantages

  • Trained on a unique dataset, providing specialized capabilities in instruction following
  • Licensed for commercial use, allowing integration into business applications
  • Active development and commitment from Databricks to improve the model

Limitations / Considerations

  • Not a state-of-the-art generative language model, with limitations in performance compared to more modern architectures
  • Reflects the content and biases of its training corpus, which may include factual errors and typos
  • Struggles with syntactically complex prompts and certain types of questions

Similar / Related Projects

  • GPT-J: A large language model with a broader pre-training corpus, known for its versatility but less specialized in instruction following.
  • EleutherAI’s Pythia-12b: The foundation model upon which Dolly is based, offering a comparison in terms of performance and capabilities.
  • Hugging Face’s Transformers: A library of pre-trained models that can be fine-tuned for various NLP tasks, providing a different approach to model training and deployment.

Basic Information


📊 Project Information

🏷️ Project Topics

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Project Information

Created on 3/24/2023
Updated on 11/12/2025