MM1.5

Optimization and analysis of multimodal large language models

CommonProductProductivityMultimodalLarge Language Models

MM1.5 is a series of multimodal large language models (MLLMs) designed to enhance capabilities in understanding text-rich images, visual reference grounding, and multi-image reasoning. Based on the MM1 architecture, the model adopts a data-centric training approach and systematically explores the impact of different data mixes throughout the model training lifecycle. The MM1.5 model varies from 1B to 30B parameters and includes both dense and mixture of experts (MoE) variants, providing valuable guidance for future MLLM development research through extensive empirical and ablation studies that detail the training processes and decision insights.

• Enhanced understanding of text-rich images
• Visual reference grounding
providing evidence-based outputs
• Multi-image reasoning capabilities
• Support for a model range from 1B to 30B parameters
• Includes dense and mixture of experts (MoE) variants
• Achieves high performance for small-scale models (1B and 3B) through data optimization and training strategies
• Introduces dedicated variants for video understanding and mobile UI understanding

The target audience includes researchers
developers
and enterprises that need to leverage advanced multimodal language models to process and analyze data containing both text and images
thereby enhancing the intelligence of their products or services. The MM1.5 model aids users in optimizing model training and improving performance on specific tasks through detailed training processes and decision insights.

Researchers use the MM1.5 model for text-rich image analysis to improve image recognition accuracy.
Developers leverage the multi-image reasoning capabilities of the MM1.5 model to create a smart application that understands complex scenes.
Companies adopt the specialized variant of the MM1.5 model to enhance the interactive experience of mobile UIs
increasing user satisfaction.

1. Visit the Hugging Face website and search for the MM1.5 model.
2. Read the model's documentation and relevant papers to understand its architecture and functionality.
3. Select the appropriate model variant based on your needs
such as the base version
video understanding version

Visit

MM1.5 Visit Over Time

Monthly Visits

19075321

Bounce Rate

45.07%

Page per Visit

5.5

Visit Duration

00:05:32

MM1.5 Visit Trend

MM1.5 Visit Geography

MM1.5 Traffic Sources

MM1.5 Alternatives

mPLUG-Owl3 — A multimodal large language model that understands long image sequences.

Image•Multimodal•Image Understanding

138

Phi-3.5-vision — An advanced multimodal model that supports image and text understanding.

Programming•Multimodal•Image Understanding

138

MiniCPM-V 2.6 — High-performance multimodal language model suitable for image and video understanding.

Image•Multimodal•Image Understanding

192

DCLM — Comprehensive framework for building and training large language models

Programming•Large language models•Dataset construction

Cantor — Innovative multimodal chain-of-thought framework that enhances visual reasoning capabilities

Productivity•Multimodal•Visual Reasoning

168

CogVLM2 — Second-generation multimodal pre-trained dialogue model

Productivity•Multimodal•Pre-trained model

456

Grok-1.5 Vision Preview — The world's first multimodal model connecting the digital and physical worlds

Productivity•Multimodal•Image understanding

768

MiniGemini — A multimodal large language model capable of understanding and generating images

Programming•Multimodal•Visual Language Model

2394

DocLLM — Multimodal Document Understanding Model

Productivity•Multimodal•Document Understanding

1500

Agora — A cross-platform communication protocol that enables efficient communication between different large language models (LLMs).

Programming•Communication Protocol•Large Language Models

5ire — User-friendly and unlocks the immense power of AI

Productivity•Large Language Models•Open Source

DataChain — A modern Python data frame library designed specifically for artificial intelligence.

Productivity•Machine Learning•Artificial Intelligence

Aquila-VL-2B-llava-qwen — A visual-language model that intelligently processes both image and text information.

Image•Visual Language Model•Multimodal

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

Programming•Artificial Intelligence•Machine Learning

Ferret-UI-Llama8b — A multimodal large language model based on Llama-3-8B, focused on UI tasks.

Programming•Multimodal•Large Language Model

URL Parser Online — An online URL parser that converts URLs into a format suitable for large language models.

Productivity•URL Parsing•Data Extraction

270

SELA — SELA enhances automated machine learning by combining Monte Carlo Tree Search and LLM-based agents.

Programming•Automated Machine Learning•Monte Carlo Tree Search

Stable Diffusion 3.5 Medium — A multimodal diffusion transformer model for generating images based on text.

Image•Text to Image•Generative Model

258

LongVU — Spatiotemporal Adaptation Compression Model for Long Video Language Understanding

Video•Video Understanding•Spatiotemporal Compression

GPTS4O.SO — A multimodal AI platform that integrates text, image, and audio interactions

Productivity•Multimodal•Text Analysis

150

Computer Use — AI's ability to simulate human-computer interaction.

InternationalSelection•Human-Computer Interaction•Automation

102

Janus-1.3B — A Unified Model for Multimodal Understanding and Generation

Productivity•Multimodal•Autoregressive Framework

108

Janus — Next-generation autoregressive framework that unifies multimodal understanding and generation

Programming•Multimodal•Autoregressive

awesome-LLM-resources — A comprehensive collection of global large language model resources.

Productivity•Large Language Models•Resource Aggregation

Best AI Websites & Tools