LLaVA++

LLaVA++ extends the LLaVA model by integrating Phi-3 and LLaMA-3, enhancing the interaction capability between visual and language models.

CommonProductProgrammingArtificial IntelligenceNatural Language Processing

Visit

LLaVA++ is an open-source project aiming to extend the visual capabilities of the LLaVA model by integrating Phi-3 and LLaMA-3 models. Developed by researchers at Mohamed bin Zayed University of AI (MBZUAI), the project enhances the model's performance on instruction-following and task-oriented datasets by combining the latest large language models.

Integrates Phi-3 Mini Instruct and LLaMA-3 Instruct models to enhance language understanding capabilities.
Has undergone performance comparisons on multiple benchmarks and datasets
demonstrating the model's advantages.
Provides pre-trained models and LoRA weighted fine-tuning models to accommodate different usage scenarios.
Offers an interactive chat experience through Google Colab.
Supports pre-training and fine-tuning of the model to optimize performance for specific tasks.
Detailed installation and training instructions are provided for the convenience of researchers and developers.

Researchers and developers can use LLaVA++ for the study and development of language models.
It is suitable for commercial applications that require language understanding and generation tasks.
In the educational field
the model can be used for language teaching and research.
It is of great significance for exploring the application of artificial intelligence in the combined field of vision and language.

In the educational field
LLaVA++ can be used to assist language learning and provide accurate language understanding and generation.
In commercial applications
LLaVA++ can be integrated to enhance the intelligence level of customer service systems.
Research institutions can use LLaVA++ for academic research on language models and publish related papers.

Step 1: Visit the GitHub project page to clone or download the LLaVA++ codebase.
Step 2: Follow the project's installation guide to update necessary dependencies by running the provided scripts.
Step 3: Choose a pre-trained model or fine-tune the model to meet specific application scenarios as needed.
Step 4: Experience the interactive chat feature of the model using the provided Google Colab link.
Step 5: According to the project's documentation and guidelines

Visit

LLaVA++ Visit Over Time

Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

LLaVA++ Visit Trend

LLaVA++ Visit Geography

LLaVA++ Traffic Sources

LLaVA++ Alternatives

OLMo-2-1124-13B-DPO — High-performance English language model suitable for diverse tasks.

Programming•Language Model•Natural Language Processing

OLMo 2 — State-of-the-art fully open language model

Programming•Language Model•Natural Language Processing

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

Programming•Natural Language Processing•Open Source

438

CosyVoice Speech Generation Model 2.0-0.5B — Efficient, multilingual speech synthesis model

Music•Speech Synthesis•Artificial Intelligence

114

OLMo-2-1124-7B-RM — A large language model for text generation and classification.

Productivity•Artificial Intelligence•Natural Language Processing

ProactiveAgent — A proactive agent based on large language models that predicts user needs and offers assistance.

Programming•Artificial Intelligence•Machine Learning

OpenScholar — A retrieval-augmented language model for synthesizing scientific literature.

Education•Scientific Literature•Retrieval Augmentation

Qwen Turbo 1M Demo — The Qwen Turbo 1M Demo is a Hugging Face space provided by Qwen.

Productivity•Natural Language Processing•Machine Learning

SmartDialogue — Explore unlimited intelligence and build a more perfect path of aggregation.

chatting•Artificial Intelligence•Natural Language Processing

654

GRIN-MoE — High-performance, low-resource consumption hybrid expert model

Programming•Artificial Intelligence•Machine Learning

Mistral-Small-Instruct-2409 — High-performance instruct-tuned AI model

Programming•Artificial Intelligence•Natural Language Processing

xAI — AI to Accelerate Human Scientific Discovery

204

assistant-ui-stockbroker — An AI-powered stockbroker assistant that provides professional investment advice.

Business•Artificial Intelligence•Financial Analysis

246

MemoRAG — A memory-based RAG framework for general-purpose applications

Programming•Natural Language Processing•Machine Learning

102

SuperPrompt — Aimed at helping us understand the engineering of AI agents through prompt design.

Programming•Artificial Intelligence•Machine Learning

RAGLAB — A modular, research-oriented unified framework for retrieval-augmented generation

Programming•Natural Language Processing•Machine Learning

DeepSeek-V2.5 — An AI model integrating general and programming capabilities.

Productivity•Artificial Intelligence•Machine Learning

192

West Lake AI Model — A multimodal model with high emotional and intellectual intelligence

ChineseSelection•Artificial Intelligence•Multimodal

282

RWKV v6 Finch 14B — RWKV v6 Finch 14B is an open-source large model that efficiently processes long texts.

Productivity•Artificial Intelligence•Natural Language Processing

234

C4AI Command R+ 08-2024 — A multilingual advanced dialogue generation model with 104 billion parameters.

Productivity•Artificial Intelligence•Machine Learning

LLM Playground — An interactive platform for loading and testing large language models.

Productivity•Artificial Intelligence•Machine Learning

Multi-Token Prediction — A multi-token prediction model designed to boost the efficiency and performance of language models

Programming•Language Model•Multi-Token Prediction

216

Samba — Official implementation of an efficient infinite context language model

Programming•Natural Language Processing•Machine Learning

198

MiLM-6B — A large-scale pre-trained language model developed by Xiaomi with a parameter scale of 64 billion.

Programming•Natural Language Processing•Machine Learning

264

GPT-4o — GPT-4o, a flagship model capable of real-time processing of audio, visual, and textual data.

chatting•Artificial Intelligence•Natural Language Processing

318

Best AI Websites & Tools

LLaVA++

LLaVA++ Visit Over Time

LLaVA++ Visit Trend

LLaVA++ Visit Geography

LLaVA++ Traffic Sources

LLaVA++ Alternatives

OLMo-2-1124-13B-DPO — High-performance English language model suitable for diverse tasks.

OLMo 2 — State-of-the-art fully open language model

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

CosyVoice Speech Generation Model 2.0-0.5B — Efficient, multilingual speech synthesis model

OLMo-2-1124-7B-RM — A large language model for text generation and classification.

ProactiveAgent — A proactive agent based on large language models that predicts user needs and offers assistance.

OpenScholar — A retrieval-augmented language model for synthesizing scientific literature.

Qwen Turbo 1M Demo — The Qwen Turbo 1M Demo is a Hugging Face space provided by Qwen.

O1-Journey — O1 Journey: Strategic Progress Report Part One

Zamba2-7B — High-performance small language model

Llama-3.2-3B — Multilingual Large Language Model

YunHu Ai — An AI assistant that creates limitless possibilities.

SmartDialogue — Explore unlimited intelligence and build a more perfect path of aggregation.

GRIN-MoE — High-performance, low-resource consumption hybrid expert model

Mistral-Small-Instruct-2409 — High-performance instruct-tuned AI model

xAI — AI to Accelerate Human Scientific Discovery

assistant-ui-stockbroker — An AI-powered stockbroker assistant that provides professional investment advice.

MemoRAG — A memory-based RAG framework for general-purpose applications

SuperPrompt — Aimed at helping us understand the engineering of AI agents through prompt design.

RAGLAB — A modular, research-oriented unified framework for retrieval-augmented generation

DeepSeek-V2.5 — An AI model integrating general and programming capabilities.

West Lake AI Model — A multimodal model with high emotional and intellectual intelligence

RWKV v6 Finch 14B — RWKV v6 Finch 14B is an open-source large model that efficiently processes long texts.

C4AI Command R+ 08-2024 — A multilingual advanced dialogue generation model with 104 billion parameters.

LLM Playground — An interactive platform for loading and testing large language models.

Multi-Token Prediction — A multi-token prediction model designed to boost the efficiency and performance of language models

Samba — Official implementation of an efficient infinite context language model

MiLM-6B — A large-scale pre-trained language model developed by Xiaomi with a parameter scale of 64 billion.

GPT-4o — GPT-4o, a flagship model capable of real-time processing of audio, visual, and textual data.