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## Summary
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Databricks’ `dolly-v2-12b`, an instruction-following large language model trained on the Databricks machine learning platform
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that is licensed for commercial use. based on `pythia-12b`, Dolly is trained on ~15k instruction/response fine tuning records
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[`databricks-dolly-15k`](https://huggingface.co/datasets/databricks/databricks-dolly-15k) generated
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that is licensed for commercial use. Based on `pythia-12b`, Dolly is trained on ~15k instruction/response fine tuning records
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[`databricks-dolly-15k`](https://github.com/databrickslabs/dolly/tree/master/data) generated
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by Databricks employees in capability domains from the InstructGPT paper, including brainstorming, classification, closed QA, generation,
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information extraction, open QA and summarization. `dolly-v2-12b` is not a state-of-the-art model, but does exhibit surprisingly
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high quality instruction following behavior not characteristic of the foundation model on which it is based.
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## Model Overview
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`dolly-v2-12b` is a 12 billion parameter causal language model created by [Databricks](https://databricks.com/) that is derived from
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[EleutherAI’s](https://www.eleuther.ai/) [Pythia-12b](https://huggingface.co/EleutherAI/pythia-12b) and fine-tuned
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on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA)
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on a [~15K record instruction corpus](https://github.com/databrickslabs/dolly/tree/master/data) generated by Databricks employees and released under a permissive license (CC-BY-SA)
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## Usage
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