Update README.md

README.md

@@ -10,6 +10,8 @@ MaterialsAnalyst-AI-7B transforms raw materials data into actionable insights. T
 - **Property Correlation**: Identifies relationships between material properties and their implications  
 - **Application Prediction**: Suggests practical applications based on material characteristics
 
+---
+
 ## See It In Action:
 
 Input Example:
@@ -82,6 +84,8 @@ Considering all these properties together, this material would be particularly v
 </answer>
 ```
 
+---
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 # Getting Started
 
 ## Installation
@@ -107,25 +111,11 @@ python Inference_safetensors.py
 python Inference_llama.cpp.py
 ```
 
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+---
 
 ## Repository Contents
 
-- **Scripts/** - Inference scripts for SafeTensors and LLaMA.cpp deployment
-- **Model_Weights/** - Model files (.gguf, safetensors, LoRA adapter formats)
-- **Data/** - Complete training dataset (Train-Ready.jsonl)
-- **Training/** - Training process logs
-
-## Technical Specifications
-
-**Model Architecture**
-- Foundation: Qwen 2.5 Instruct 7B (7 billion parameters)
-- Fine-tuning: LoRA (Low-Rank Adaptation)
 
-**Training Details**
-- Infrastructure: Single NVIDIA A100 SXM4 GPU (~5.4 hours)
-- Dataset: 6,000 samples (6.4M tokens, avg 1,074 tokens/sample)
-- Data Generation: DeepSeekV3 API
 
 ## Citation