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Phi 3 Vision Glaucoma Diagnosis V1 by AswanthCManoj

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Phi 3 Vision Glaucoma Diagnosis V1 is an open-source language model by AswanthCManoj. Features: LLM, VRAM: 8.3GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Conversational   Custom code   Instruct   Phi3 v   Pytorch   Region:us   Sharded   Vision
Model Card on HF 🤗: https://huggingface.co/AswanthCManoj/Phi-3-vision-glaucoma-diagnosis-v1 

Phi 3 Vision Glaucoma Diagnosis V1 Benchmarks

LLME Score: 0.13767
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Vision Glaucoma Diagnosis V1 (AswanthCManoj/Phi-3-vision-glaucoma-diagnosis-v1)
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Phi 3 Vision Glaucoma Diagnosis V1 Parameters and Internals

LLM NamePhi 3 Vision Glaucoma Diagnosis V1
Repository 🤗https://huggingface.co/AswanthCManoj/Phi-3-vision-glaucoma-diagnosis-v1 
Required VRAM8.3 GB
Updated2026-05-01
MaintainerAswanthCManoj
Model Typephi3_v
Instruction-BasedYes
Model Files  4.9 GB: 1-of-2   3.4 GB: 2-of-2
Model ArchitecturePhi3VForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.43.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than AswanthCManoj/Phi-3-vision-glaucoma-diagnosis-v1.

Rank the Phi 3 Vision Glaucoma Diagnosis V1 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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