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Medllama3 V20 by ProbeMedicalYonseiMAILab

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ProbeMedicalYonseiMAILab/medllama3-v20 

Medllama3 V20 Benchmarks

ARC: 48.38 vs 96.7 (so35)-50%
HellaSwag: 72.35 vs 95.3 (gpt4)-24.1%
MMLU: 67.2 vs 88.3 (so35)-23.9%
TruthfulQA: 44.81 vs 59 (gpt4)-24.1%
WinoGrande: 62.12 vs 87.5 (gpt4)-29%
GSM8K: 46.55 vs 96.4 (so35)-51.7%
LLME Score: 0.29715
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medllama3 V20 (ProbeMedicalYonseiMAILab/medllama3-v20)

Medllama3 V20 Parameters and Internals

Model Type 
LLM
Additional Notes 
The model utilizes the following training hyperparameters: Lora Targets: "o_proj", "down_proj", "v_proj", "gate_proj", "up_proj", "k_proj", "q_proj".
Supported Languages 
English ()
Training Details 
Data Sources:
publically available medical data
Methodology:
fine-tuning
LLM NameMedllama3 V20
Repository 🤗https://huggingface.co/ProbeMedicalYonseiMAILab/medllama3-v20 
Model Size8b
Required VRAM16.1 GB
Updated2024-12-21
MaintainerProbeMedicalYonseiMAILab
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
Model ArchitectureAutoModelForCausalLM
Licensellama3
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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Release v20241217
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