Dolly
PaidAutomate data migration, transfer securely & quickly, between databases, cloud storage, various formats & types.
About Dolly
Dolly is an open source project from Databricks Labs that makes the process of moving data between different data sources faster, simpler, and more secure. With Dolly, users can easily and quickly move data between databases, cloud storage, and data lakes, with the assurance of strong authentication and encryption. Dolly supports a wide range of data formats and types, so users can conveniently move data between any two compatible sources. What’s more, Dolly is incredibly easy to use; users can set up and configure their data transfers in just a few clicks. With Dolly, users can be assured that their data transfers will be secure, efficient, and reliable.
Key Features
Pros & Cons
- Surprisingly high-quality instruction following for a 12B parameter model
- Open-source and freely available with commercial license
- Fine-tuned on diverse, human-generated instruction data covering multiple domains
- Easy to access via Hugging Face and GitHub
- Trained on a reproducible platform (Databricks)
- Not state-of-the-art; lags behind larger or more modern models
- Struggles with complex prompts, programming, mathematics, factual accuracy, and open-ended QA
- Prone to hallucination and biases inherited from training data (The Pile)
- Lacks some capabilities present in the base model (e.g., well-formatted letter writing)
- Limited dataset size (~15k records) compared to many contemporary LLMs
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