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metadata
base_model: meta-llama/Meta-Llama-3-70B-Instruct
tags:
  - llama-3
  - llama
  - Mixtral
  - instruct
  - finetune
  - chatml
  - DPO
  - RLHF
  - gpt4
  - distillation
model-index:
  - name: OpenBioLLM-70B
    results: []
license: apache-2.0
language:
  - en
datasets:
  - berkeley-nest/Nectar
widget:
  - example_title: OpenBioLLM-70B
    messages:
      - role: system
        content: >-
          You are an expert and experienced from the healthcare and biomedical
          domain with extensive medical knowledge and practical experience.
      - role: user
        content: How long does it take for newborn jaundice to go away?
    output:
      text: >-
        Newborn jaundice, also known as neonatal jaundice, is a common condition
        in newborns where the yellowing of the skin and eyes occurs due to an
        elevated level of bilirubin in the blood. Bilirubin is a yellow pigment
        that forms when red blood cells break down. In most cases, newborn
        jaundice resolves on its own without any specific treatment.

        The duration of newborn jaundice can vary depending on several factors
        such as the underlying cause, gestational age at birth, and individual
        variations in bilirubin metabolism. Here are some general guidelines:

        1. Physiological jaundice: This is the most common type of newborn
        jaundice and usually appears within 24-72 hours after birth. It tends to
        peak between the second and fifth day of life and gradually improves
        over the next week or two. By the time the baby is one week old, the
        jaundice should have mostly resolved. 2. Breast milk jaundice: This type
        of jaundice occurs in breastfed babies and may appear later than
        physiological jaundice, typically between the fifth and fourteenth day
        of life. It tends to persist for a longer duration but usually resolves
        within six weeks after birth. 3. Pathological jaundice: This type of
        jaundice is less common and occurs due to an underlying medical
        condition that affects bilirubin metabolism or liver function. The
        duration of pathological jaundice depends on the specific cause and may
        require treatment.

        It's important for parents to monitor their newborn's jaundice closely
        and seek medical advice if the jaundice progresses rapidly, becomes
        severe, or is accompanied by other symptoms such as poor feeding,
        lethargy, or excessive sleepiness. In these cases, further evaluation
        and management may be necessary. Remember that each baby is unique, and
        the timing of jaundice resolution can vary. If you have concerns about
        your newborn's jaundice, it's always best to consult with a healthcare
        professional for personalized advice and guidance.

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Advancing Open-source Large Language Models in Medical Domain

OpenChat Logo Online Demo | GitHub Logo GitHub | ArXiv Logo Paper | Discord Logo Discord

Introducing OpenBioLLM-70B: A State-of-the-Art Open Source Biomedical Large Language Model

OpenBioLLM-70B is an advanced open source language model designed specifically for the biomedical domain. Developed by Saama AI Labs, this model leverages cutting-edge techniques to achieve state-of-the-art performance on a wide range of biomedical tasks.

🏥 Biomedical Specialization: OpenBioLLM-70B is tailored for the unique language and knowledge requirements of the medical and life sciences fields. It was fine-tuned on a vast corpus of high-quality biomedical data, enabling it to understand and generate text with domain-specific accuracy and fluency.

🎓 Superior Performance: With 70 billion parameters, OpenBioLLM-70B outperforms other open source biomedical language models of similar scale. It has also demonstrated better results compared to larger proprietary & open-source models like GPT-4, Gemini, Meditron-70B, Med-PaLM-1 & Med-PaLM-2 on biomedical benchmarks.

🧠 Advanced Training Techniques: OpenBioLLM-70B builds upon the powerful foundations of the Meta-Llama-3-70B-Instruct and Meta-Llama-3-70B-Instruct models. It incorporates the same dataset and fine-tuning recipe as the Starling model, along with a custom diverse medical instruction dataset and a novel merge method. Key components of the training pipeline include:

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