Update README.md

README.md

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 # Finetune Llama 3.3, Qwen, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
 
 We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_(7B)-Alpaca.ipynb)
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-<div class="grid sm:grid-cols-2">
-<a href="https://github.com/unslothai/unsloth/"><img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="115"></a>
-<a href="https://discord.gg/unsloth"><img src="https://github.com/unslothai/unsloth/raw/main/images/Discord button.png" width="145"></a>
+<div class="flex space-x-3">
+  <a href="https://github.com/unslothai/unsloth/">
+    <img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133">
+  </a>
+  <a href="https://discord.gg/unsloth">
+    <img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
+  </a>
 </div>
 
 ## ✨ Finetune for Free