Llama3 Med42 70B 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 70B 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 70B (m42-health/Llama3-Med42-70B)

Llama3 Med42 70B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Healthcare
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:
Ensure safety through extensive human evaluation
Additional Notes 
This large language model is not yet ready for clinical use without further testing and validation. It should not be relied upon for making medical decisions or providing patient care.
Training Details 
Data Sources:
Medical flashcards, Exam questions, Open-domain dialogues
Data Volume:
~1B tokens
Methodology:
Instruction-tuned
Context Length:
8000
Hardware Used:
NVIDIA DGX cluster with H100 GPUs
Input Output 
Input Format:
Text only data
Output Format:
Model generates text only
LLM NameLlama3 Med42 70B
Repository ๐Ÿค—https://huggingface.co/m42-health/Llama3-Med42-70B 
Model Size70b
Required VRAM141.9 GB
Updated2025-01-23
Maintainerm42-health
Model Typellama
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
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-Med42-70B.

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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