Open-LLaVA-NeXT-LLaMA3-8B Open-source Chatbot - Supports Multimodal Research and Free to Use

Open LLaVA NeXT LLaMA3 8B

Developed by Share4oReasoning

An open-source chatbot model trained by fine-tuning the entire model on open-source data, which can be used for research on multimodal models and chatbots.

Text-to-Image

Safetensors

Open Source License:Apache-2.0 #Multimodal chatbot #Open-source instruction fine-tuning #Visual language understanding

Downloads 215

Release Time : 12/27/2024

Model Overview

open-llava-next-llama3-8b is a multimodal model based on LLaMA3-8B, mainly used for research on large multimodal models and chatbots.

Model Features

Multimodal ability

Combines visual and language processing capabilities, enabling it to understand and generate responses based on images and text.

Open-source training data

Trained using fully open-source datasets, including ShareGPT4V Mix665K and other generated data.

High performance

Performs excellently on multiple benchmarks (such as MME, SEED, SQA, etc.), outperforming similar models.

Model Capabilities

Multimodal dialogue

Visual question answering

Text generation

Image understanding

Use Cases

Research

Multimodal model research

Used for researching the combination and performance optimization of visual and language models.

Performs excellently in multiple benchmarks

Chatbot development

Develop chatbots that can understand and generate responses based on images and text.

Education

Visual question answering system

Used for visual question answering and interactive learning in educational scenarios.

🚀 open-llava-next-llama3-8b Model Card

This is an open - source chatbot model. It's trained by fine - tuning on open - source data, aiming to contribute to research in large multimodal models and chatbots.

✨ Features

Trained on open - source data, enhancing its reproducibility and accessibility.
Demonstrates good performance on multiple evaluation metrics.

📦 Installation

No specific installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

Basic 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].

📚 Documentation

Model details

General Information

Property	Details
Model Type	open - llava - next - llama3 - 8b is an open - source implementation chatbot trained by fine - tuning the entire model on open - source [Open - LLaVA - Next - mix1M](https://huggingface.co/datasets/Lin - Chen/Open - LLaVA - NeXT - mix1M) data.
Model Date	open - llava - next - llama3 - 8b was trained in May 2024.
Paper or resources for more information	[[Code](https://github.com/xiaoachen98/Open - LLaVA - NeXT)]

Performance Comparison

Name	ViT	LLM	Weights	MME	SEED	SQA	MMB	MMB - CN	TextVQA	GQA
llava - next - vicuna - 7b	CLIP - L - 336	Vicuna - 7B	[HF](https://huggingface.co/liuhaotian/llava - v1.6 - vicuna - 7b)	1519	70.2	70.1	67.4	60.6	64.9	64.2
open - llava - next - vicuna - 7b	CLIP - L - 336	Vicuna - 7B	[HF](https://huggingface.co/Lin - Chen/open - llava - next - vicuna - 7b)	1540	71.1	70.7	68.5	60.7	67.2	64.3
open - llava - next - llama3 - 8b	CLIP - L - 336	LLaMA3 - 8B	[HF](https://huggingface.co/Lin - Chen/open - llava - next - llama3 - 8b)	1552	74.4	77.3	74.4	70.4	69.8	65.9

Training dataset

All training data are open - sourced in our [repository](https://github.com/xiaoachen98/Open - LLaVA - NeXT).

[ShareGPT4V Mix665K](https://huggingface.co/datasets/Lin - Chen/ShareGPT4V)
200K GPT4V - generated instruction data (ALLaVA)
200K various VQA data

Intended use

Primary intended uses

The primary use of open - llava - next - llama3 - 8b 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.

📄 License

The model is licensed under the Apache - 2.0 license.

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