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README.md

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 # 🧬 ChemQ3MTP-base
 
-ChemQ3MTP-base is a lightweight generative model for chemistry, trained on 2.33 million valid bioactive and natural product molecules dataset curated from ChemBL34, COCONUTDB, and Supernatural3. It is built on a compact Qwen2-like transformer backbone and employs a multi-horizon predictive (MTP) loss objective to model molecular structures in SELFIES representation.
+ChemQ3MTP-base is a lightweight generative model for chemistry, trained on 2.33 million valid bioactive and natural product molecules dataset curated from ChemBL34, COCONUTDB, and SuperNatural3. It is built on a compact Qwen2-like transformer backbone and employs a multi-horizon predictive (MTP) loss objective to model molecular structures in SELFIES representation.
 
 Current version (0.1) (Lic for Code: MIT; Weights: Apache 2.0)