What are the hardware requirements for Florence 2 Base Ft?

Florence 2 Base Ft requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Florence 2 Base Ft and how large is it?

Florence 2 Base Ft is developed by microsoft, a model with 231.6m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Florence 2 Base Ft?

Florence 2 Base Ft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Florence 2 Base Ft by microsoft — VRAM 0.5GB

Name: Florence 2 Base Ft
Author: microsoft

Florence 2 Base Ft is an open-source language model by microsoft. Features: 231.6m LLM, VRAM: 0.5GB, License: mit, LLM Explorer Score: 0.18.

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-base-ft

Florence 2 Base Ft Parameters and Internals

Model Type

vision, vision-language

Use Cases

Areas:

Research, Commercial applications

Applications:

Image captioning, Object detection, Segmentation

Training Details

Data Sources:

FLD-5B

Data Volume:

5.4 billion annotations across 126 million images

Methodology:

Sequence-to-sequence architecture for multi-task learning

Model Architecture:

Sequence-to-sequence architecture

Input Output

Input Format:

Text prompts

Accepted Modalities:

text, image

Output Format:

Parsed task results

LLM Name	Florence 2 Base Ft
Repository 🤗	https://huggingface.co/microsoft/Florence-2-base-ft
Model Size	231.6m
Required VRAM	0.5 GB
Updated	2025-08-20
Maintainer	microsoft
Model Type	florence2
Model Files	0.5 GB
Model Architecture	Florence2ForConditionalGeneration
License	mit
Model Max Length	1024
Transformers Version	4.41.0.dev0
Vocabulary Size	51289
Torch Data Type	float16

Rank the Florence 2 Base Ft 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

Best Alternatives to Florence 2 Base Ft

Best Alternatives	Context / RAM	Downloads	Likes
Florence 2 Base	0K / 0.5 GB	452366	289

Note: green Score (e.g. "73.2") means that the model is better than microsoft/Florence-2-base-ft.