What are the hardware requirements for Native Association Wider Florence2?

Native Association Wider Florence2 requires approximately 3.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Native Association Wider Florence2 and how large is it?

Native Association Wider Florence2 is developed by Igal20, a model with 776.7m 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 Native Association Wider Florence2?

Native Association Wider Florence2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Native Association Wider Florence2 by Igal20 — VRAM 3.1GB

Name: Native Association Wider Florence2
Author: Igal20

Native Association Wider Florence2 is an open-source language model by Igal20. Features: 776.7m LLM, VRAM: 3.1GB, License: mit, LLM Explorer Score: 0.28.

Base model:finetune:microsoft/... Base model:microsoft/florence-... Custom code Eccv-2026 Endpoints compatible Florence-2 Florence2 Grammar-constrained-decoding Image-text-to-text Pedestrian-attributes Person-attribute-recognition Region:us Safetensors Vision Vision-language-model Wider-attribute

Model Card on HF 🤗: https://huggingface.co/Igal20/native-association-wider-florence2

Native Association Wider Florence2 Parameters and Internals

LLM Name	Native Association Wider Florence2
Repository 🤗	https://huggingface.co/Igal20/native-association-wider-florence2
Base Model(s)	Florence 2 Large microsoft/Florence-2-large
Model Size	776.7m
Required VRAM	3.1 GB
Updated	2026-08-30
Maintainer	Igal20
Model Type	florence2
Model Files	3.1 GB
Model Architecture	Florence2ForConditionalGeneration
License	mit
Model Max Length	1024
Transformers Version	4.46.2
Tokenizer Class	BartTokenizer
Padding Token	<pad>
Vocabulary Size	51311
Torch Data Type	float32
Errors	replace

Rank the Native Association Wider Florence2 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 Native Association Wider Florence2

Best Alternatives	Context / RAM	Downloads	Likes
Florence 2 Large	0K / 1.6 GB	233739	5
Florence 2 Large	0K / 1.6 GB	1005584	1640

Note: green Score (e.g. "73.2") means that the model is better than Igal20/native-association-wider-florence2.