Update README.md

README.md

@@ -1,8 +1,20 @@
 ---
 license: apache-2.0
+language:
+- en
+base_model:
+- aaditya/Llama3-OpenBioLLM-8B
 ---
 
-**How to use the model**
+# OpenBioLLM-Text2Graph-8B
+
+This model is a biomedical annotation model designed to generate named entity annotations from unlabeled biomedical text.  
+It was introduced in the paper [GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition](https://arxiv.org/abs/2504.00676).  
+
+This model enables **high-throughput, cost-efficient synthetic biomedical NER data generation**, serving as the synthetic annotation backbone for [GLiNER-BioMed models](https://huggingface.co/collections/knowledgator/gliner-biomed-67ecf1b7cc62e673dbc8b57f).
+
+
+## Usage
 
 To use the model with `transformer` package, see the example below:
 ```python
@@ -129,4 +141,20 @@ chat_prompt = tokenizer.apply_chat_template(
 outputs = llm.generate([chat_prompt], sampling_params)
 response_text = outputs[0].outputs[0].text
 print(response_text)
+```
+
+## Citation
+
+If you use this model, please cite:
+
+```bibtex
+@misc{yazdani2025glinerbiomedsuiteefficientmodels,
+      title={GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition}, 
+      author={Anthony Yazdani and Ihor Stepanov and Douglas Teodoro},
+      year={2025},
+      eprint={2504.00676},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2504.00676}, 
+}
 ```