Update README.md

README.md

@@ -5,20 +5,37 @@ license_link: https://ai.google.dev/gemma/docs/gemma_4_license
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-<div align="center">
-  <img src=https://ai.google.dev/gemma/images/gemma4_banner.png>
-</div>
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+> **Note:** This repository is an **archived mirror** and is **not** the original upstream source.  
+> The original model, weights, and documentation are developed and maintained by **Google DeepMind**.
+>
+> All hosted model weights are **unmodified**. Any README edits are purely editorial and do not affect the model, its behavior, or its licensing.
+>
+> The model is released under the **Apache License, Version 2.0**, which permits use, modification, and redistribution under its terms.
+>
+> *This repository is not affiliated with, endorsed by, or sponsored by Google DeepMind.*
 
 <p align="center">
-    <a href="https://huggingface.co/collections/google/gemma-4" target="_blank">Hugging Face</a> |
-    <a href="https://github.com/google-gemma" target="_blank">GitHub</a> |
-    <a href="https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/" target="_blank">Launch Blog</a> |
-    <a href="https://ai.google.dev/gemma/docs/core" target="_blank">Documentation</a>
-    <br>
-    <b>License</b>: <a href="https://ai.google.dev/gemma/docs/gemma_4_license" target="_blank">Apache 2.0</a> | <b>Authors</b>: <a href="https://deepmind.google/models/gemma/" target="_blank">Google DeepMind</a>
+  <a href="https://huggingface.co/collections/google/gemma-4" target="_blank">
+    <img src="https://img.shields.io/badge/Models-Hugging%20Face-yellow?style=flat-square">
+  </a>
+  <a href="https://github.com/google-gemma" target="_blank">
+    <img src="https://img.shields.io/badge/Source-GitHub-181717?style=flat-square">
+  </a>
+  <a href="https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/" target="_blank">
+    <img src="https://img.shields.io/badge/Blog-Launch-lightgrey?style=flat-square">
+  </a>
+  <a href="https://ai.google.dev/gemma/docs/core" target="_blank">
+    <img src="https://img.shields.io/badge/Docs-Official-0A66C2?style=flat-square">
+  </a>
+  <a href="https://ai.google.dev/gemma/docs/gemma_4_license" target="_blank">
+    <img src="https://img.shields.io/badge/License-Apache%202.0-red?style=flat-square">
+  </a>
+  <a href="https://deepmind.google/models/gemma/" target="_blank">
+    <img src="https://img.shields.io/badge/Author-Google%20DeepMind-blue?style=flat-square">
+  </a>
 </p>
 
+
 Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages. 
 
 Featuring both Dense and Mixture-of-Experts (MoE) architectures, Gemma 4 is well-suited for tasks like text generation, coding, and reasoning. The models are available in four distinct sizes: **E2B**, **E4B**, **26B A4B**, and **31B**. Their diverse sizes make them deployable in environments ranging from high-end phones to laptops and servers, democratizing access to state-of-the-art AI.