Med42-v2: A Suite of Clinical LLMs
Med42-v2 introduces a suite of clinical large language models (LLMs) designed
to address the limitations of generic models in healthcare settings. These
models are built on Llama3 architecture and fine-tuned using specialized
clinical data. They underwent multi-stage preference alignment to effectively
respond to natural prompts. While generic models are often preference-aligned
to avoid answering clinical queries as a precaution, Med42-v2 is specifically
trained to overcome this limitation, enabling its use in clinical settings.
Med42-v2 models demonstrate superior performance compared to the original
Llama3 models in both 8B and 70B parameter configurations and GPT-4 across
various medical benchmarks. These LLMs are developed to understand clinical
queries, perform reasoning tasks, and provide valuable assistance in clinical
environments. The models are now publicly available at
https://huggingface.co/m42-health{https://huggingface.co/m42-health}.
66bad2e2cd315359c8c9c20f
Clément Christophe
admin_assigned
2024-08-13T09:14:24.464Z
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https://cdn-avatars.huggingface.co/v1/production/uploads/628e39f4b1596566033b8d7b/-Y807up1cgMmAQsczdOPn.jpeg
Clément Christophe
user
cchristophe
66bad2e2cd315359c8c9c210
Praveen K Kanithi
claimed_verified
2024-08-13T09:54:56.941Z
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https://cdn-avatars.huggingface.co/v1/production/uploads/65280984b794fe3d06544d77/tyrxbxtDG02On1uiRaVbL.jpeg
Praveenkumar
user
pkanithi
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Tathagata Raha
admin_assigned
2024-08-13T09:14:36.456Z
5f5f6c113c67af20d9945afb
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Tathagata Raha
user
tathagataraha
66bad2e2cd315359c8c9c212
Shadab Khan
66bad2e2cd315359c8c9c213
Marco AF Pimentel
claimed_verified
2024-09-24T07:53:56.497Z
6454faafa13edf669cd74f36
/avatars/355d16e28ca9cf5891368e43bcda6de5.svg
Marco Pimentel
user
mpimentel
Med42-v2: A Suite of Clinical LLMs
Med42-v2 introduces a suite of clinical large language models (LLMs) designed
to address the limitations of generic models in healthcare settings. These
models are built on Llama3 architecture and fine-tuned using specialized
clinical data. They underwent multi-stage preference alignment to effectively
respond to natural prompts. While generic models are often preference-aligned
to avoid answering clinical queries as a precaution, Med42-v2 is specifically
trained to overcome this limitation, enabling its use in clinical settings.
Med42-v2 models demonstrate superior performance compared to the original
Llama3 models in both 8B and 70B parameter configurations and GPT-4 across
various medical benchmarks. These LLMs are developed to understand clinical
queries, perform reasoning tasks, and provide valuable assistance in clinical
environments. The models are now publicly available at
https://huggingface.co/m42-health{https://huggingface.co/m42-health}.
Med42-v2 enhances Llama3 with clinical data to improve performance in healthcare settings, outperforming generic models across medical benchmarks.
large language models LLMs Llama3 preference alignment clinical queries reasoning tasks