PharMolix
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BioMedGPT-LM-7B

Text Generation

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

youngking0727 commited on Aug 12, 2023

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@@ -24,7 +24,7 @@ The model was trained with the following hyperparameters:
 * Cutoff length: 2048
 * Learning rate: 2e-5
-Overview Lla was finetuned on over 26 billion tokens highly pertinent to the field of biomedicine. The fine-tuning data are extracted from 5.5 million biomedical papers in S2ORC data using PubMed Central
 (PMC)-ID and PubMed ID as criteria.
@@ -43,7 +43,7 @@ ical data modalities via a single GPT model. BioMedGPT aligns different biologic
 **Out-of-scope Uses**
-### Research Paper
 "BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine"

 * Cutoff length: 2048
 * Learning rate: 2e-5
+Overview BioMedGPT-LM-7B was finetuned on over 26 billion tokens highly pertinent to the field of biomedicine. The fine-tuning data are extracted from 5.5 million biomedical papers in S2ORC data using PubMed Central
 (PMC)-ID and PubMed ID as criteria.
 **Out-of-scope Uses**
+### Technical Report
 "BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine"