LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Florence 2 Large Ft by microsoft

 »  All LLMs  »  microsoft  »  Florence 2 Large Ft   URL Share it on

  39992   
  Arxiv:2311.06242   Autotrain compatible   Custom code   Florence2   Image-text-to-text   Pytorch   Region:us   Safetensors   Vision
Model Card on HF 🤗: https://huggingface.co/microsoft/Florence-2-large-ft 

Florence 2 Large Ft Benchmarks

LLME Score: 0.25341
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Florence 2 Large Ft (microsoft/Florence-2-large-ft)
🌟 Advertise your project 🚀

Florence 2 Large Ft Parameters and Internals

Model Type 
image-text-to-text
Use Cases 
Areas:
Research, Commercial applications
Applications:
Image captioning, Object detection, Segmentation, Vision-language tasks
Primary Use Cases:
Captioning, Object detection, Segmentation, Vision-language tasks
Additional Notes 
Used in research and commercial applications without explicit censoring.
Training Details 
Data Sources:
FLD-5B dataset
Data Volume:
5.4 billion annotations across 126 million images
Methodology:
Prompt-based approach, sequence-to-sequence architecture
Model Architecture:
Sequence-to-sequence architecture
Input Output 
Input Format:
Input format for vision tasks through prompts.
Accepted Modalities:
Text, Image
Output Format:
Text-based descriptions and symbols for image annotations.
Performance Tips:
Switch prompts to trigger different tasks.
LLM NameFlorence 2 Large Ft
Repository 🤗https://huggingface.co/microsoft/Florence-2-large-ft 
Model Size770.4m
Required VRAM1.5 GB
Updated2025-08-20
Maintainermicrosoft
Model Typeflorence2
Model Files  1.5 GB
Model ArchitectureFlorence2ForConditionalGeneration
Licensemit
Model Max Length1024
Transformers Version4.41.0.dev0
Vocabulary Size51289
Torch Data Typefloat16

Rank the Florence 2 Large Ft Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 51560 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer