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  dragon-red-pajama-7b-v0 part of the dRAGon ("Delivering RAG On ...") model series, RAG-instruct trained on top of a RedPajama-INCITE-7B base model.
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- DRAGON models are fine-tuned with high-quality custom instruct datasets, designed for production quality use in RAG scenarios.
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  ### Benchmark Tests
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  - **License:** Apache 2.0
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  - **Finetuned from model:** RedPajama-INCITE-7B
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- The intended use of DRAGON models is two-fold:
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- 1. Provide high-quality RAG-Instruct models designed for fact-based, no "hallucination" question-answering in connection with an enterprise RAG workflow.
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- 2. DRAGON models are fine-tuned on top of leading base foundation models, generally in the 6-7B+ range, and purposefully rolled-out across multiple base models to provide choices and "drop-in" replacements for RAG specific use cases.
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- 3. DRAGON models were trained on the same principles as the BLING models, so generally, it should be easy to "upgrade" from a BLING model in testing to a DRAGON model in production.
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  ### Direct Use
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  <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
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  dragon-red-pajama-7b-v0 part of the dRAGon ("Delivering RAG On ...") model series, RAG-instruct trained on top of a RedPajama-INCITE-7B base model.
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+ DRAGON models have been fine-tuned with the specific objective of fact-based question-answering over complex business and legal documents with an emphasis on reducing hallucinations and providing short, clear answers for workflow automation.
 
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  ### Benchmark Tests
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  - **License:** Apache 2.0
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  - **Finetuned from model:** RedPajama-INCITE-7B
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  ### Direct Use
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  <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->