Update README.md

README.md

@@ -8,6 +8,22 @@ BLING-QWEN-MINI-TOOL (1.5B)
 
 **bling-qwen-mini-tool** is a RAG-finetuned version on Qwen2-1.5B for use in fact-based context question-answering, packaged with 4_K_M GGUF quantization, providing a very fast, very small inference implementation for use on CPUs.  
 
+
+## Benchmark Tests
+
+Evaluated against the benchmark test: 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: **93.5** correct out of 100
+--Not Found Classification: 75.0%
+--Boolean: 87.5%
+--Math/Logic: 70.0%
+--Complex Questions (1-5): 3 (Average)  
+--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