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README.md

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 base_model:
 - openai-community/gpt2
 ---
+
+# MICROD v1.0 (micro-distill-grpo-vae)
+This model was made with the Micro Distillery app available at: 
+
+webxos.netlify.app/MICROD
+
+    -Model Distillation Training: Simulate GRPO optimization with VAE filtering for small LLMs (42M-345M params).
+    -Policy Experimentation: Test group sizes, KL penalties, cache reuse for RLHF-like training.
+    -VAE Filtering: Apply latent space compression to improve distillation quality.
+    -Sandbox Testing: Execute safe Python code with feedback masking.
+    -Export & Deployment: Generate deployable models for inference in various frameworks.
+    -Offline Usage: PWA supports offline training simulation and exports.
+
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@@ -27,19 +40,6 @@ base_model:
 
 
   
-# MICROD v1.0 (micro-distill-grpo-vae)
-This model was made with the Micro Distillery app available at: 
-
-webxos.netlify.app/MICROD
-
-    -Model Distillation Training: Simulate GRPO optimization with VAE filtering for small LLMs (42M-345M params).
-    -Policy Experimentation: Test group sizes, KL penalties, cache reuse for RLHF-like training.
-    -VAE Filtering: Apply latent space compression to improve distillation quality.
-    -Sandbox Testing: Execute safe Python code with feedback masking.
-    -Export & Deployment: Generate deployable models for inference in various frameworks.
-    -Offline Usage: PWA supports offline training simulation and exports.
-```
-
 ## Model Description
 This is a distilled language model trained using Group Relative Policy Optimization (GRPO) with VAE filtering. 
 **MICROD v1.0 (micro-distill-grpo-vae)** is a small template model designed to be built upon for custom ground up builds. It is distillated into a