Bio Medical Llama 3 8B by ContactDoctor

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Biomed   Conversational Dataset:collaiborateorg/biomed...   Endpoints compatible   Generated from trainer   Healthcare & lifesciences   Instruct   Llama   Medical   Region:us   Safetensors   Sharded   Tensorflow

Bio Medical Llama 3 8B Benchmarks

nn.n% โ€” How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sponsored by Nebius

Bio Medical Llama 3 8B Parameters and Internals

Use Cases 
Areas:
Research Support, Clinical Decision Support, Educational Tool
Primary Use Cases:
Assisting researchers in literature review and data extraction, Providing information to support clinical decision-making processes, Serving as a resource for medical students and professionals
Limitations:
The model may inherit biases present in the training data., The model's responses may not always be accurate or up-to-date.
Considerations:
The model should complement, not replace, professional judgment and expertise.
Training Details 
Data Sources:
collaiborateorg/BioMedData
Data Volume:
500,000+ entries
Responsible Ai Considerations 
Fairness:
Efforts have been made to curate a balanced dataset, but some biases may persist.
LLM NameBio Medical Llama 3 8B
Repository ๐Ÿค—https://huggingface.co/ContactDoctor/Bio-Medical-Llama-3-8B 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1โ€ฏGB
Updated2024-11-09
MaintainerContactDoctor
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   6.1 GB: 2-of-2
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 ContactDoctor/Bio-Medical-Llama-3-8B.

Rank the Bio Medical Llama 3 8B Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

Instruction Following and Task Automation  
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Factuality and Completeness of Knowledge  
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Censorship and Alignment  
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Data Analysis and Insight Generation  
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Text Generation  
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Text Summarization and Feature Extraction  
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Code Generation  
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Multi-Language Support and Translation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227