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Phi3 Medmcqa Finetuned by Amir230703

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Phi3 Medmcqa Finetuned is an open-source language model by Amir230703. Features: 3.8b LLM, VRAM: 15.4GB, Context: 128K, Fine-Tuned, LLM Explorer Score: 0.18.

  Conversational   Custom code   Finetuned   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Amir230703/phi3-medmcqa-finetuned 

Phi3 Medmcqa Finetuned Benchmarks

LLME Score: 0.17937
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi3 Medmcqa Finetuned (Amir230703/phi3-medmcqa-finetuned)
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Phi3 Medmcqa Finetuned Parameters and Internals

LLM NamePhi3 Medmcqa Finetuned
Repository 🤗https://huggingface.co/Amir230703/phi3-medmcqa-finetuned 
Model Size3.8b
Required VRAM15.4 GB
Updated2025-12-27
MaintainerAmir230703
Model Typephi3
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   0.4 GB: 4-of-4
Model ArchitecturePhi3ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat32

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NuExtract V1.5128K / 7.7 GB10851189
Phi 3 Mini 128K Instruct128K / 7.7 GB50
Phi 3.5 Mini TitanFusion 0.1128K / 7.7 GB50
Phi 4 Mini Instruct128K / 7.7 GB838124
ECE EIFFEL 3Bv2128K / 7.7 GB50
Pii Phi Mlx128K / 7.7 GB50
NuExtract 1.5128K / 7.7 GB4283245
MediPhi Clinical128K / 7.7 GB38513
Note: green Score (e.g. "73.2") means that the model is better than Amir230703/phi3-medmcqa-finetuned.

Rank the Phi3 Medmcqa Finetuned 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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