What are the hardware requirements for Florence 2 Base?

Florence 2 Base 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 and how large is it?

Florence 2 Base 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?

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

Florence 2 Base by microsoft — VRAM 0.5GB

Name: Florence 2 Base
Author: microsoft

Florence 2 Base is an open-source language model by microsoft. Features: 231.6m LLM, VRAM: 0.5GB, License: mit, LLM Explorer Score: 0.23.

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

Florence 2 Base Parameters and Internals

LLM Name	Florence 2 Base
Repository 🤗	https://huggingface.co/microsoft/Florence-2-base
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 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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Florence 2 Base Ft	0K / 0.5 GB	22879	126