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Medical Llama3 V2 by ruslanmv

 »  All LLMs  »  ruslanmv  »  Medical Llama3 V2   URL Share it on

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  Autotrain compatible   Chatml   Clinical   Conversational Dataset:ruslanmv/ai-medical-ch...   Distillation   Dpo   En   Endpoints compatible   Finetuned   Gpt4   Heathcare   Instruct   Lifescience   Llama   Llama-3   Lora   Med   Medical   Pharma   Pharmaceutical   Region:us   Rlhf   Ruslanmv   Safetensors   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/ruslanmv/Medical-Llama3-v2 

Medical Llama3 V2 Benchmarks

LLME Score: 0.16224
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medical Llama3 V2 (ruslanmv/Medical-Llama3-v2)
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Medical Llama3 V2 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
heathcare, medical, clinical, lifescience, Pharmaceutical, Pharma
Primary Use Cases:
Medical Q&A
Considerations:
This model should not be used as a substitute for professional medical advice.
Additional Notes 
This model is designed specifically for medical inquiries and should be used in conjunction with professional medical input.
Training Details 
Data Sources:
ruslanmv/ai-medical-chatbot
Methodology:
Fine-tuning on AI Medical Chatbot dataset
LLM NameMedical Llama3 V2
Repository 🤗https://huggingface.co/ruslanmv/Medical-Llama3-v2 
Base Model(s)  meta-llama/Meta-Llama-3-v2   meta-llama/Meta-Llama-3-v2
Model Size8b
Required VRAM16.1 GB
Updated2025-10-27
Maintainerruslanmv
Model Files  0.1 GB   4.0 GB: 1-of-5   3.9 GB: 2-of-5   3.9 GB: 3-of-5   3.2 GB: 4-of-5   1.1 GB: 5-of-5
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|up_proj|down_proj|gate_proj|k_proj|o_proj|q_proj
LoRA Alpha32
LoRA Dropout0.1
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than ruslanmv/Medical-Llama3-v2.

Rank the Medical Llama3 V2 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 v20241124
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