LLaVa-NeXT Multimodal chatbot combining language and vision for diverse AI applications.
LLaVa v1.6 - Mistral 7b Description
Model Name: LLaVA v1.6 - Mistral 7B
Developer/Creator: Haotian Liu
Release Date: December 2023
Version: 1.6
Model Type: Multimodal Language Model (Text and Image)
Overview
LLaVA v1.6 - Mistral 7B is an open-source, multimodal chatbot that combines a large language model with a pre-trained vision encoder. It excels in understanding and generating text based on both textual and visual inputs, making it ideal for a wide range of multimodal tasks.
Key Features
Built on the Mistral-7B-Instruct-v0.2 base model
Supports dynamic high-resolution image input
Capable of handling diverse multimodal tasks
Improved commercial licensing and bilingual support
7 billion parameters for efficient computation
Intended Use
LLaVA v1.6 - Mistral 7B is designed for:
Research on large multimodal models and chatbots
Image captioning and visual question answering
Open-ended dialogue with visual context
Building intelligent virtual assistants
Image-based search applications
Interactive educational tools
Language Support
The model demonstrates strong multilingual capabilities, with improved bilingual support compared to earlier versions.
Technical Details
Architecture
LLaVA v1.6 - Mistral 7B utilizes:
An auto-regressive language model based on the transformer architecture
A pre-trained vision encoder (likely CLIP-L, based on similar models)
Integration of text and image inputs using the <image> token in prompts
Training Data
The model was trained on a diverse dataset including:
558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP
158K GPT-generated multimodal instruction-following data
500K academic-task-oriented VQA data mixture
50K GPT-4V data mixture
40K ShareGPT data
Data Source and Size: The training data comprises over 1.3 million diverse samples, including image-text pairs and instruction-following data.
Knowledge Cutoff: December 2023
Diversity and Bias: The model's training data includes a wide range of sources, potentially reducing bias.
Performance Metrics
LLaVA v1.6 - Mistral 7B demonstrates strong performance across various benchmarks:
Comparison to Other Models
Accuracy: LLaVA v1.6 - Mistral 7B shows competitive performance compared to similar models.
For example, it achieves 35.3 on MMMU and 37.7 on MathVista benchmarks.
Speed: Specific inference speed metrics are not provided, but the 7B parameter size suggests efficient computation.
Robustness: The model demonstrates strong performance across multiple benchmarks and tasks, indicating good generalization capabilities.
While specific ethical guidelines are not detailed, users should adhere to responsible AI practices and consider potential biases in model outputs. The model should not be used for generating harmful or misleading content.
Licensing
LLaVA v1.6 - Mistral 7B follows the licensing terms of the Mistral-7B-Instruct-v0.2 base model. Users should refer to the official licensing terms for specific usage rights and restrictions.
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