Create README.md

README.md

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+language:
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+# SmolLM3 Training Configs
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+Here you can find the training configs for [SmoLLM3-3B-Base](https://huggingface.co/HuggingFaceTB/SmolLM3-3B-Base) using [nanotron](https://github.com/huggingface/nanotron/) with exact training details and data mixtures. 
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+The model was trained on 11.2T tokens in 3 stages on 4k context: 
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+- stage 1 config: https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs/blob/main/stage1_8T.yaml
+- stage 2 config: https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs/blob/main/stage2_8T_9T.yaml
+- stage 3 config (decay): https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs/blob/main/stage3_9T_11T.yaml
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+![image/png](https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/944zWNgcI1I06RZuoP11B.png)
+
+
+And then we trained on an additional 2 stages to extend the contetx length to 64k:
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+- stage 4 config: https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs/blob/main/long_context_4k_to_32k.yaml
+- stage 5 config: https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs/blob/main/long_context_32k_to_64.yaml
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+![image/png](https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/jBOiemVtbfi9YD7Pki6sY.png)
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