Update README.md

README.md

@@ -259,7 +259,7 @@ English | [简体中文](./README_CN.md)
 
 | Feature | Details |
 |---------|---------|
-| **Base Architecture** | Qwen2.5-32B |
+| **Base Architecture** | Qwen3-32B |
 | **Parameters** | 32B |
 | **Domain** | Clinical Medicine, Research Support, Healthcare System Integration |
 | **Fine-tuning Method** | SFT + Preference Alignment (DPO/KTO) |
@@ -269,7 +269,7 @@ English | [简体中文](./README_CN.md)
 
 ## 📊 Performance
 
-MedGo demonstrates excellent performance across multiple medical and general evaluation benchmarks, showing competitive results among 30B-parameter models:
+MedGo demonstrates excellent performance across multiple medical and general evaluation benchmarks, showing competitive results among 32B-parameter models:
 
 ### Key Benchmark Results
 
@@ -283,7 +283,7 @@ MedGo demonstrates excellent performance across multiple medical and general eva
 ![Performance Comparison](./main_results.png)
 
 **Performance Highlights**:
-- ✅ **Average Score**: ~70 points (excellent performance in the 30B parameter class)
+- ✅ **Average Score**: ~70 points (excellent performance in the 32B parameter class)
 - ✅ **Strong Tasks**: Clinical reasoning (DiagnosisArena, CME) and multi-turn medical Q&A
 - ✅ **Balanced Capability**: Good performance in medical semantic understanding and multi-task generalization
 
@@ -536,7 +536,4 @@ Special thanks to:
 ---
 
 <div align="center">
-
-[⬆ Back to Top](#medgo-medical-large-language-model-based-on-qwen25-32b)
-
 </div>