Update README.md

README.md

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 This model was made with the Micro Distillery app available at: 
 webxos.netlify.app/MICROD
 
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+    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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 ## Model Description
 This is a distilled language model trained using Group Relative Policy Optimization (GRPO) with VAE filtering.