What are the hardware requirements for Florence 2 Base Ft Bf16?

Florence 2 Base Ft Bf16 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 Bf16 and how large is it?

Florence 2 Base Ft Bf16 is developed by mlx-community, a model with 270.9m 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 Bf16?

Florence 2 Base Ft Bf16 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 Bf16 by mlx-community — VRAM 0.5GB

Name: Florence 2 Base Ft Bf16
Author: mlx-community

Florence 2 Base Ft Bf16 is an open-source language model by mlx-community. Features: 270.9m LLM, VRAM: 0.5GB, License: mit.

Custom code Florence2 Image-text-to-text Mlx Region:us Safetensors Vision

Model Card on HF 🤗: https://huggingface.co/mlx-community/Florence-2-base-ft-bf16

Florence 2 Base Ft Bf16 Parameters and Internals

LLM Name	Florence 2 Base Ft Bf16
Repository 🤗	https://huggingface.co/mlx-community/Florence-2-base-ft-bf16
Model Size	270.9m
Required VRAM	0.5 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	florence2
Model Files	0.5 GB
Model Architecture	Florence2ForConditionalGeneration
License	mit
Model Max Length	1024
Transformers Version	4.45.2
Tokenizer Class	BartTokenizer
Padding Token	<pad>
Vocabulary Size	51289
Torch Data Type	float32
Errors	replace

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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