Enterprise DNA
O Open Source Observability medium

dolly

by Community

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

D

OSS

dolly

Added 1 June 2026

#chatbot #databricks #dolly #gpt

Overview

Dolly is a large language model trained on the Databricks Machine Learning Platform. It is designed for instruction following and fine-tuning on custom datasets. The model is open source and available under a community license.

Best for

Best for
Developers and researchers who want to fine-tune a mid-sized open-source LLM on Databricks infrastructure.

Use cases

  • Fine-tuning a language model on domain-specific instructions
  • Building a conversational agent for customer support
  • Generating code or documentation from natural language prompts

Notes

Dolly is a large language model trained on the Databricks Machine Learning Platform. It is designed for instruction following and fine-tuning on custom datasets. The model is open source and available under a community license.

10,790 stars on GitHub. Last updated 2023-06-30. Licensed Apache-2.0.

Use cases

  • Fine-tuning a language model on domain-specific instructions
  • Building a conversational agent for customer support
  • Generating code or documentation from natural language prompts

Pros

  • Open source with permissive community license
  • Trained on a robust enterprise ML platform
  • Good foundation for custom instruction-following tasks

Cons

  • Requires substantial GPU memory for inference and training
  • Not as capable as larger proprietary models for complex reasoning
  • Limited pre-training data scope compared to frontier models

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Open source with permissive community license
  • Trained on a robust enterprise ML platform
  • Good foundation for custom instruction-following tasks

Cons

  • Requires substantial GPU memory for inference and training
  • Not as capable as larger proprietary models for complex reasoning
  • Limited pre-training data scope compared to frontier models
Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.