Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- medical
+datasets:
+- biomed
+---
+# BioMedGPT-LM-7B
+
+In this repo, we present a medical language model named BioMedGPT-LM which is the first commercial-friendly GPT model in the biomedical domain and has demonstrated
+superior performance over existing LLMs of the same parameter size. We are releasing a 7B model **BioMedGPT-LM-7B** which is LLaMA2-7b-chat finetuned on the PMC abstracts and papers from the S2ORC.
+
+
+
+
+### Training Details
+
+
+
+The model was trained with the following hyperparameters:
+
+* Epochs: 5 
+* Batch size: 192 
+* Cutoff length: 2048
+* Learning rate: 2e-5
+
+Overview Llama 2 was pretrained on 2 trillion tokens of data from publicly available sources. The fine-tuning data includes publicly available instruction datasets, as well as over one million new human-annotated examples. Neither the pretraining nor the fine-tuning datasets include Meta user data.
+
+### Model Developers 
+PharMolix  
+
+### How to Use
+BioMedGPT-LM-7B is a part of **[BioMedGPT-10B](https://github.com/BioFM/OpenBioMed)**, an open-source version of BioMedGPT. BioMedGPT is a multimodal generative pre-trained transformer (GPT) for biomedicine, which bridges the natural language modality and diverse biomed-
+ical data modalities via a single GPT model. BioMedGPT aligns different biological modalities with the text modality via BioMedGPT-LM. The details of BioMedGPT-10B and BioMedGPT-LM-7B can be found in the [technical report]().
+
+
+**Intended Use Cases**
+
+
+
+**Out-of-scope Uses**
+
+
+### Research Paper
+"BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine"
+
+
+### github
+[https://github.com/BioFM/OpenBioMed](https://github.com/BioFM/OpenBioMed)
+
+
+### Limitations
+
+[Highlight any limitations or potential issues of your model.]
+
+