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BioMed Tuned Llama 3 8B by NouRed

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  En   Endpoints compatible   Lora   Medical   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/NouRed/BioMed-Tuned-Llama-3-8b 

BioMed Tuned Llama 3 8B Benchmarks

LLME Score: 0.1953
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BioMed Tuned Llama 3 8B (NouRed/BioMed-Tuned-Llama-3-8b)

BioMed Tuned Llama 3 8B Parameters and Internals

Model Type 
decoder-only transformer, text generation
Use Cases 
Areas:
biomedical domain, general text generation
Additional Notes 
BioMed-LLaMa-3-8B addresses constraints in using pre-trained LLMs in the biomedical domain through fine-tuning.
Training Details 
Data Sources:
Alpaca medical instruction data
Methodology:
Efficiently fine-tuned using QLoRa
Context Length:
8192
Model Architecture:
decoder-only transformer with 128K-token vocabulary and grouped query attention
LLM NameBioMed Tuned Llama 3 8B
Repository 🤗https://huggingface.co/NouRed/BioMed-Tuned-Llama-3-8b 
Model Size8b
Required VRAM0.1 GB
Updated2024-12-06
MaintainerNouRed
Model Files  0.1 GB
Supported Languagesen
Model ArchitectureAutoModel
Licensellama3
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|gate_proj|o_proj|up_proj|q_proj|v_proj|k_proj
LoRA Alpha16
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than NouRed/BioMed-Tuned-Llama-3-8b.

Rank the BioMed Tuned Llama 3 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 v20241124
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