ClinicalCamel-70B Open-Source Large Language Model - Free Deployment to Boost Medical and Clinical Research

Clinicalcamel 70B

Developed by wanglab

Clinical Camel is an open-source large language model based on the LLaMA-2 70B architecture, fine-tuned with QLoRA, specifically tailored for the medical and clinical research fields.

Large Language Model

Transformers

English#Medical Q&A #Clinical Decision Support #Physician Licensing Exam

Downloads 2,855

Release Time : 8/15/2023

Model Overview

This model can process and generate professional content in the medical and clinical research fields, demonstrating outstanding performance in multiple medical benchmarks.

Model Features

Medical Domain Specialization

Tailored for the medical and clinical research fields, capable of handling professional medical content

High Performance

Outperforms GPT-3.5 in multiple medical benchmarks, approaching the levels of GPT-4 and Med-PaLM 2

Open-Source Model

An open-source model based on the LLaMA-2 architecture, utilizing QLoRA fine-tuning technology

Model Capabilities

Medical Knowledge Q&A

Clinical Decision Support

Medical Literature Analysis

Medical Exam Question Answering

Use Cases

Medical Education

Physician Licensing Exam Preparation

Assists medical students in preparing for the United States Medical Licensing Examination (USMLE)

Excellent performance on USMLE exam questions

Clinical Research

Medical Literature Analysis

Helps researchers quickly understand and analyze medical literature

Achieved 77.9% accuracy on the PubMedQA dataset

🚀 Clinical Camel

Clinical Camel is an open large language model tailored for medical and clinical research, capable of processing and generating relevant content.

🚀 Quick Start

No specific quick - start steps are provided in the original document.

✨ Features

Clinical Camel is an open large language model (LLM). It is fine - tuned on the LLaMA - 2 70B architecture using QLoRA. It is specifically designed for medical and clinical research and can process and generate relevant content.

📚 Documentation

Model Description

Clinical Camel is an open large language model (LLM), fine - tuned on the LLaMA - 2 70B architecture using QLoRA. It is tailored for the medical and clinical research, capable of processing and generating relevant content.

Review our pre - print for more details: Clinical Camel - Pre - print

Performance

Clinical Camel demonstrates competitive performance on medical benchmarks.

Table: Five - Shot Performance of Clinical Camel - 70B (C70), GPT3.5, GPT4, and Med - PaLM 2 on Various Medical Datasets

Dataset	ClinicalCamel - 70B	GPT3.5	GPT4	Med - PaLM 2
MMLU Anatomy	65.2	60.7	80.0	77.8
MMLU Clinical Knowledge	72.8	68.7	86.4	88.3
MMLU College Biology	81.2	72.9	93.8	94.4
MMLU College Medicine	68.2	63.6	76.3	80.9
MMLU Medical Genetics	69.0	68.0	92.0	90.0
MMLU Professional Medicine	75.0	69.8	93.8	95.2
MedMCQA	54.2	51.0	72.4	71.3
MedQA (USMLE)	60.7	53.6	81.4	79.7
PubMedQA	77.9	60.2	74.4	79.2
USMLE Sample Exam	64.3	58.5	86.6	-

Evaluation Datasets

The performance of Clinical Camel was benchmarked across several datasets, including:

Evaluation Reproduction

To reproduce the evaluations with [lm - evaluation - harness](https://github.com/EleutherAI/lm - evaluation - harness) see the 'TaskFiles' folder

📄 License

The model is licensed under cc - by - nc - 4.0.

⚠️ Important Note

You agree not to use the model for healthcare decision - making or commercial use

💡 Usage Tip

When using this model, you need to check the following boxes:

I agree to use this model for non - commercial use ONLY
I agree not to use this model for healthcare decision - making

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