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@@ -3,11 +3,11 @@ license: apache-2.0
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  inference: false
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  ---
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- # DRAGON-QWEN-7B
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  <!-- Provide a quick summary of what the model is/does. -->
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- dragon-qwen-7b is part of the dRAGon ("Delivering RAG On ...") model series, RAG-instruct trained on top of a Qwen2 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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  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**: **99.0** 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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  inference: false
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  ---
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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%