Update README.md

README.md

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 SmolLM3 is a 3B parameter language model designed to push the boundaries of small models. It supports 6 languages, advanced reasoning and long context. SmolLM3 is a fully open model that offers strong performance at the 3B–4B scale.
 
-The model is a decoder-only transformer using GQA and NoRope, it was trained on 11.2T tokens with a staged curriculum of web, code, math and reasoning data. Post-training included midtraining on 100B reasoning followed by supervised fine-tuning and alignment via Anchored Preference Optimization.
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 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/Zcm_016pWeyFr_uIkT7Ki.png)
 
+The model is a decoder-only transformer using GQA and NoRope, it was trained on 11.2T tokens with a staged curriculum of web, code, math and reasoning data. Post-training included midtraining on 100B reasoning followed by supervised fine-tuning and alignment via Anchored Preference Optimization.
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 ### Key features
 - Instruct model optimized for **hybrid reasoning**
 - **Fully open model**: open weights + full training details including public data mixture and training configs