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README.md
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inference: false
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# DRAGON-
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<!-- Provide a quick summary of what the model is/does. -->
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dragon-
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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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Evaluated against the benchmark test: [RAG-Instruct-Benchmark-Tester](https://www.huggingface.co/datasets/llmware/rag_instruct_benchmark_tester)
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1 Test Run with sample=False & temperature=0.0 (deterministic output) - 1 point for correct answer, 0.5 point for partial correct or blank / NF, 0.0 points for incorrect, and -1 points for hallucinations.
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--**Accuracy Score**: **
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--Not Found Classification: 85.0%
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--Boolean: 100.0%
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--Math/Logic: 92.5%
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inference: false
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# DRAGON-YI-1.5V-9B
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<!-- Provide a quick summary of what the model is/does. -->
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dragon-yi-1.5b-9b is part of the dRAGon ("Delivering RAG On ...") model series, RAG-instruct trained on top of a yi-9b 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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Evaluated against the benchmark test: [RAG-Instruct-Benchmark-Tester](https://www.huggingface.co/datasets/llmware/rag_instruct_benchmark_tester)
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1 Test Run with sample=False & temperature=0.0 (deterministic output) - 1 point for correct answer, 0.5 point for partial correct or blank / NF, 0.0 points for incorrect, and -1 points for hallucinations.
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--**Accuracy Score**: **98.0** correct out of 100
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--Not Found Classification: 85.0%
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--Boolean: 100.0%
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--Math/Logic: 92.5%
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