open-llava-next-vicuna-7b

Lin-Chen/open-llava-next-vicuna-7b

open-llava-next-vicuna-7b is a image-text-to-text model from Lin-Chen. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

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7.1B

14.8 GB on disk

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Hugging Face

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.safetensors14.7 GB · 100%

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BF166.8B · 96%

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Datasets

Lin-Chen/ShareGPT4V

Model card

From the Hugging Face model README

open-llava-next-vicuna-7b Model Card

Model details

Model type: open-llava-next-vicuna-7b is an open-source implementation chatbot trained by fine-tuning the entire model on open-source Open-LLaVA-Next-mix1M data.

Model date: open-llava-next-vicuna-7b was trained in May 2024.

Paper or resources for more information: [Code]

Name	LLM	Checkpoint	MME	SEED-image	SQA-image	MMBench	MMBench-CN	TextVQA	GQA
llava-next-vicuna-7b	Vicuna-7B	HF	1519	70.2	70.1	67.4	60.6	64.9	64.2
open-llava-next-vicuna-7b	Vicuna-7B	HF	1540	71.1	70.7	68.5	60.7	67.2	64.3

Usage

You can utilize this model as we provide in our [repository]. Moreover, you can direct load this model and use it in the [LLaVA repository].

Training dataset

All training data are open-sourced in our repository.

ShareGPT4V Mix665K
200K GPT4V-generated instruction data (ALLaVA)
200K various VQA data

Intended use

Primary intended uses: The primary use of open-llava-next-vicuna-7b is research on large multimodal models and chatbots.

Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.

Task: Image-Text-to-Text
Library: transformers
Type: llava_llama
License: apache-2.0
Created: May 23, 2024
Updated: May 27, 2024