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README.md

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 # Structure Extraction Model by NuMind 🔥
 
-NuExtract_tiny is a fine-tuned version of qwen1.5-0.5 (500 milions parameters), on a private high-quality syntactic dataset for information extraction. To use the model, provide an input text (less than 2000 tokens) and a JSON schema describing the information you need to extract. This model is purely extractive, so each information output by the model is present as it is in the text. You can also provide an example of output to help the model understand your task more precisely.
+NuExtract_tiny is a fine-tuned version of [Qwen1.5-0.5](https://huggingface.co/Qwen/Qwen1.5-0.5B),on a private high-quality syntactic dataset for information extraction. To use the model, provide an input text (less than 2000 tokens) and a JSON schema describing the information you need to extract. This model is purely extractive, so each information output by the model is present as it is in the text. You can also provide an example of output to help the model understand your task more precisely.
 
 Note: This model while providing good performance in 0 shot, is intendeed to be fine-tune on a specific task (at least 30 example needed)
 
+We also provide a base (3.8B) and large(7B) version of this model: [NuExtract](https://huggingface.co/numind/NuExtract) and [NuExtract-large](https://huggingface.co/numind/NuExtract-large)
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 **Checkout other models by NuMind:**
 * SOTA Zero-shot NER Model [NuNER Zero](https://huggingface.co/numind/NuNER_Zero)
 * SOTA Multilingual Entity Recognition Foundation Model: [link](https://huggingface.co/numind/entity-recognition-multilingual-general-sota-v1)