Update README.md

README.md

@@ -3,11 +3,11 @@ license: apache-2.0
 inference: false  
 ---
 
-# bling-phi-3-gguf
+# dragon-mistral-0.3-gguf
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-bling-phi-3-gguf is part of the BLING ("Best Little Instruct No-GPU") model series, RAG-instruct trained for fact-based question-answering use cases on top of a Microsoft Phi-3 base model.
+dragon-mistral-0.3-gguf is part of the DRAGON model series, RAG-instruct trained for fact-based question-answering use cases on top of a Mistral 7b v0.3 base model.
 
 
 ### Benchmark Tests  
@@ -15,17 +15,17 @@ bling-phi-3-gguf is part of the BLING ("Best Little Instruct No-GPU") model seri
 Evaluated against the benchmark test:   [RAG-Instruct-Benchmark-Tester](https://www.huggingface.co/datasets/llmware/rag_instruct_benchmark_tester)  
 1 Test Run (with temperature = 0.0 and sample = False) 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**:  **100.0** correct out of 100  
+--**Accuracy Score**:  **99.5** correct out of 100  
 --Not Found Classification:  95.0%  
---Boolean:  97.5%  
---Math/Logic:  80.0%  
+--Boolean:  82.5%  
+--Math/Logic:  67.5%  
 --Complex Questions (1-5):  4 (Above Average - multiple-choice, causal)  
 --Summarization Quality (1-5):  4 (Above 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).  
 
-Note: compare results with [bling-phi-2](https://www.huggingface.co/llmware/bling-phi-2-v0), and [dragon-mistral-7b](https://www.huggingface.co/llmware/dragon-mistral-7b-v0).  
+Note: compare results with [dragon-mistral-7b](https://www.huggingface.co/llmware/dragon-mistral-7b-v0).  
 
 
 ### Model Description