VLM2Vec LoRA by TIGER-Lab

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  Arxiv:2410.05160   Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-3.5-v...   Custom code   Dataset:tiger-lab/mmeb-train   Embedding   En   Instruct   Lora   Phi3 v   Region:us

VLM2Vec LoRA Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

VLM2Vec LoRA Parameters and Internals

LLM NameVLM2Vec LoRA
Repository ๐Ÿค—https://huggingface.co/TIGER-Lab/VLM2Vec-LoRA 
Base Model(s)  microsoft/Phi-3.5-vision-instruct   microsoft/Phi-3.5-vision-instruct
Required VRAM0 GB
Updated2024-10-18
MaintainerTIGER-Lab
Instruction-BasedYes
Model Files  0.0 GB   0.1 GB   0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|out_proj|gate_up_proj|down_proj|v_proj|qkv_proj|o_proj|q_proj
LoRA Alpha64
LoRA Dropout0.1
R Param8
VLM2Vec LoRA (TIGER-Lab/VLM2Vec-LoRA)

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Rank the VLM2Vec LoRA 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803