Update README.md

README.md

@@ -49,6 +49,10 @@ library_name: transformers
   <a href="https://huggingface.co/spaces/FINAL-Bench/all-bench-leaderboard"><img src="https://img.shields.io/badge/📊_ALL_Bench-Leaderboard-orange?style=for-the-badge" alt="ALL Bench"></a>
 </p>
 
+<p align="center">
+  <img src="info.png" alt="Darwin-4B-Opus" width="100%">
+</p>
+
 > Gemma 4 Expert 4B (MoE) | Thinking Mode | 128K Context | 140+ Languages | BF16 | Apache 2.0
 
 ---
@@ -70,6 +74,15 @@ As the smallest member of the Darwin Opus family, Darwin-4B-Opus delivers Claude
 | Father | google/gemma-4-E4B-it | Gemma 4 Expert 4B (MoE), multimodal, 128K context, efficient inference |
 | Mother | arsovskidev/Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled | Claude 4.6 Opus high-effort reasoning distillation, enhanced code/science/analysis |
 
+### Model Diagnostic Scan (MDS)
+
+<p align="center">
+  <img src="s1.png" alt="Father (gemma-4-E4B-it) MDS Scan" width="48%">
+  <img src="s2.png" alt="Mother (Claude-Opus-Distill) MDS Scan" width="48%">
+</p>
+
+Left: Father (gemma-4-E4B-it) — balanced generalist with low activation across most probes. Right: Mother (Claude-Opus-Distill) — strong REASONING concentration in later layers, CODE activation in late layers. The Mother shows significantly more specialized layer patterns from Claude Opus distillation.
+
 ---
 
 ## Benchmarks
@@ -116,6 +129,12 @@ final_ratio  = mri_ratio × mri_trust + genome_ratio × (1 - mri_trust)
 
 The mri_trust parameter itself is optimized by the CMA-ES evolutionary algorithm, allowing the system to automatically determine the optimal balance between diagnostic prescription and evolutionary search for each model pair.
 
+### Parent Comparison (MDS Result)
+
+<p align="center">
+  <img src="parent_comparison.png" alt="Parent Comparison — Layer-wise Importance" width="100%">
+</p>
+
 ---
 
 ## Evolution Result