Llama3 Med42 8B by m42-health

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  Arxiv:2408.06142   Autotrain compatible   Clinical-llm   Conversational   En   Health   Healthcare   Llama   M42   Region:us   Safetensors   Sharded   Tensorflow

Llama3 Med42 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 Med42 8B (m42-health/Llama3-Med42-8B)

Llama3 Med42 8B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
healthcare, clinical decision making
Applications:
medical question answering, patient record summarization, aiding medical diagnosis, general health Q&A
Limitations:
not ready for real clinical use, potential for generating incorrect or harmful information, risk of perpetuating biases in training data
Considerations:
Use responsibly! Do not rely on them for medical usage without rigorous safety testing.
Additional Notes 
Assessment uses 4,000 curated healthcare-related questions and the LLM-as-a-Judge approach for evaluation.
Training Details 
Data Sources:
open-access and high-quality sources, medical flashcards, exam questions, open-domain dialogues
Data Volume:
~1B tokens
Methodology:
instruct and preference-tuning
Context Length:
8000
Hardware Used:
NVIDIA DGX cluster with H100 GPUs
Input Output 
Input Format:
text only data
Accepted Modalities:
text
Output Format:
text generation
LLM NameLlama3 Med42 8B
Repository ๐Ÿค—https://huggingface.co/m42-health/Llama3-Med42-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
Maintainerm42-health
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than m42-health/Llama3-Med42-8B.

Rank the Llama3 Med42 8B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227