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Phi 3 Vision 128K Instruct Quantized by dwb2023

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Phi 3 Vision 128K Instruct Quantized is an open-source language model by dwb2023. Features: LLM, VRAM: 2.4GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   4-bit   Bitsandbytes   Custom code   Instruct   Phi3 v   Pytorch   Region:us   Vision
Model Card on HF 🤗: https://huggingface.co/dwb2023/phi-3-vision-128k-instruct-quantized 

Phi 3 Vision 128K Instruct Quantized Benchmarks

LLME Score: 0.13188
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 128K Instruct Quantized (dwb2023/phi-3-vision-128k-instruct-quantized)
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Phi 3 Vision 128K Instruct Quantized Parameters and Internals

LLM NamePhi 3 Vision 128K Instruct Quantized
Repository 🤗https://huggingface.co/dwb2023/phi-3-vision-128k-instruct-quantized 
Required VRAM2.4 GB
Updated2026-05-15
Maintainerdwb2023
Model Typephi3_v
Instruction-BasedYes
Model Files  2.4 GB
Model ArchitecturePhi3VForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.41.0
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than dwb2023/phi-3-vision-128k-instruct-quantized.

Rank the Phi 3 Vision 128K Instruct Quantized 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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