Update README.md

README.md

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 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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         <div class="pill">- **Model type**: micro-distill-grpo-vae</div>
         <button id="invertBtn" class="btn-ghost">- **License**: Apache 2.0</button>
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 ## Model Description
 This is a distilled language model trained using Group Relative Policy Optimization (GRPO) with VAE filtering. 
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 ## Usage
 
+-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.
 
 ## Citation