Update README.md

README.md

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 ---
-title: Veylon
-emoji: 💻
-colorFrom: pink
-colorTo: red
-sdk: docker
+title: Veylon Alpha 1 Preview
+emoji: 🚀
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 5.0.0
+app_file: app.py
 pinned: false
-short_description: An very lightweight LLM
----
+tags:
+  - llm
+  - language-model
+  - keras
+  - jax
+  - transformer
+  - ai
+  - text-generation
+--- Veylon Alpha 1 Preview
+
+Veylon Alpha 1 Preview is a lightweight experimental language model designed for efficient training and fast inference.
+
+Highlights
+
+- 7M parameter prototype
+- Trained with Keras 3 + JAX
+- Optimized for TPU v5e training
+- Sliding Window Attention (SWA)
+- Grouped Query Attention (GQA)
+- Fast training throughput
+- Research-focused architecture
+
+Performance
+
+- Context Length: 1024 tokens
+- Vocabulary Size: 8000
+- TPU Throughput: 200K+ tokens/sec during training
+- Lightweight checkpoint size
+
+Try It
+
+Type a prompt and generate text directly in the demo.
+
+Roadmap
+
+- Veylon Alpha 10M
+- Veylon Alpha 30M
+- Veylon Alpha 100M
+- Advanced memory systems
+- Longer context support
+
+Author
+
+Created by IconicDev.
+
+Disclaimer
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+This is a research preview and may generate inaccurate or nonsensical outputs.