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Medical Llama3 8B by ruslanmv

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Model Card on HF 🤗: https://huggingface.co/ruslanmv/Medical-Llama3-8B 

Medical Llama3 8B Benchmarks

ARC: 56.31 vs 96.7 (so35)-41.8%
HellaSwag: 80.95 vs 95.3 (gpt4)-15.1%
MMLU: 65.12 vs 88.3 (so35)-26.3%
TruthfulQA: 43.07 vs 59 (gpt4)-27%
WinoGrande: 77.74 vs 87.5 (gpt4)-11.2%
GSM8K: 40.49 vs 96.4 (so35)-58%
LLME Score: 0.24964
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medical Llama3 8B (ruslanmv/Medical-Llama3-8B)

Medical Llama3 8B Parameters and Internals

Model Type 
text generation, question answering
Use Cases 
Areas:
healthcare, biomedical
Primary Use Cases:
Medical Q&A
Limitations:
model outputs are not guaranteed to be accurate
Considerations:
Always seek professional healthcare advice.
Additional Notes 
The model is intended for informational purposes only. Contributing is encouraged through pull requests.
Training Details 
Data Sources:
ruslanmv/ai-medical-chatbot
Methodology:
fine-tuning
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameMedical Llama3 8B
Repository 🤗https://huggingface.co/ruslanmv/Medical-Llama3-8B 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerruslanmv
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   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
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Medical Llama3 8B

Model
Likes
Downloads
VRAM
Medical V5 Gguf0238 GB
Medical V4 Gguf01016 GB

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

Rank the Medical Llama3 8B Capabilities

🆘 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! 🌟

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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Release v20241227
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