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DOLLY

Open-source instruction-following LLMs by Databricks

Apache-2.0

ABOUT

Building capable instruction-following large language models typically requires massive compute budgets and proprietary training data. Dolly demonstrates that high-quality open-source LLMs can be created by fine-tuning existing base models on carefully curated instruction datasets using standard ML infrastructure. This democratizes LLM development by showing that organizations with modest compute resources can still produce useful, commercially-viable language models.

INSTALL
pip install transformers

INTEGRATION GUIDE

1. Fine-tune and deploy instruction-following LLMs for domain-specific conversational AI applications 2. Build chatbot prototypes that follow user instructions using open-source models on standard ML infrastructure 3. Experiment with instruction-tuning techniques and datasets for research into LLM alignment and behavior 4. Deploy open-weight LLMs for text generation, summarization, and question answering in enterprise environments

TAGS

llmtext-generationopen-sourceinstruction-followingdatabrickstransformerschatbot