Update README.md

README.md

@@ -12,7 +12,23 @@ To pull the model via API:
 
     from huggingface_hub import snapshot_download           
     snapshot_download("llmware/bling-qwen-nano-tool", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)  
-    
+
+
+## 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: **81.0** correct out of 100  
+--Not Found Classification: 65.0%  
+--Boolean: 62.5%  
+--Math/Logic: 42.5%  
+--Complex Questions (1-5): 3 (Average for ~1B model)  
+--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).
+
 
 Load in your favorite GGUF inference engine, or try with llmware as follows: