Update README.md

README.md

@@ -12,6 +12,23 @@ BLING models are fine-tuned with distilled high-quality custom instruct datasets
 the objective of providing a high-quality Instruct model that is 'inference-ready' on a CPU laptop even 
 without using any advanced quantization optimizations.
 
+
+### Benchmark Tests  
+
+Evaluated against the benchmark test:   [RAG-Instruct-Benchmark-Tester](https://www.huggingface.co/datasets/llmware/rag_instruct_benchmark_tester)  
+Average of 2 Test Runs with 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**:  **73.25** correct out of 100  
+--Not Found Classification:  17.5%  
+--Boolean:  29%  
+--Math/Logic:  0%
+--Complex Questions (1-5):  1 (Low)  
+--Summarization Quality (1-5):  1 (Coherent, extractive)  
+--Hallucinations:  No hallucinations observed in test runs.  
+
+For test run results, please see the files ("core_rag_test" and "answer_sheet" in the repo).
+
+
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
@@ -49,22 +66,6 @@ The first BLING models have been trained for common RAG scenarios, specifically:
 without the need for a lot of complex instruction verbiage - provide a text passage context, ask questions, and get clear fact-based responses.
 
 
-### Benchmark Tests  
-
-Evaluated against the benchmark test:   [RAG-Instruct-Benchmark-Tester](https://www.huggingface.co/llmware/rag_instruct_benchmark_tester)  
-Average of 2 Test Runs with 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**:  **73.25** correct out of 100  
---Not Found Classification:  17.5%  
---Boolean:  29%  
---Math/Logic:  0%
---Complex Questions (1-5):  1 (Low)  
---Summarization Quality (1-5):  1 (Coherent, extractive)  
---Hallucinations:  No hallucinations observed in test runs.  
-
-For test run results, please see the files ("core_rag_test" and "answer_sheet" in the repo).
-
-
 ## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->