Update README.md

README.md

@@ -10,6 +10,22 @@ inference: false
 **dragon-qwen-7b-gguf** is a quantized version of a fact-based question answering model, optimized for complex business documents, fine-tuned on top of Qwen2 7B base, and then packaged with 4_K_M GGUF quantization, providing a fast, small inference implementation for use on CPUs.  
 
 
+### Benchmark Tests  
+
+Evaluated against the benchmark test:   [RAG-Instruct-Benchmark-Tester](https://www.huggingface.co/datasets/llmware/rag_instruct_benchmark_tester)  
+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.  
+
+--**Accuracy Score**:  **99.0** correct out of 100  
+--Not Found Classification:  85.0%  
+--Boolean:  100.0%  
+--Math/Logic:  92.5%  
+--Complex Questions (1-5):  5 (Best in Class)  
+--Summarization Quality (1-5):  3 (Average)  
+--Hallucinations:  No hallucinations observed in test runs.  
+
+For test run results (and good indicator of target use cases), please see the files ("core_rag_test" and "answer_sheet" in this repo).
+
+
 To pull the model via API:  
 
     from huggingface_hub import snapshot_download