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

20899836

Bounce Rate

46.04%

Page per Visit

5.2

Visit Duration

00:04:57

MM1.5 Visit Trend

MM1.5 Visit Geography

MM1.5 Traffic Sources

MM1.5 Alternatives

InternVL2_5-38B — Advanced Multimodal Large Language Model Series

Image•Multimodal•Large Language Models

108

Qwen2-VL-2B — A state-of-the-art visual language model that supports multimodal understanding and text generation.

Image•Visual Language Model•Multimodal

Pixtral-Large-Instruct-2411 — A 124B-parameter multimodal large language model.

Productivity•Multimodal•Large Language Model

102

Pixtral Large — State-of-the-art multimodal AI model for image and text understanding.

InternationalSelection•Multimodal•Image Understanding

162

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

Image•Multimodal•Image Understanding

144

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

Programming•Multimodal•Image Understanding

156

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

Image•Multimodal•Image Understanding

204

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

180

CogVLM2 — Second-generation multimodal pre-trained dialogue model

Productivity•Multimodal•Pre-trained model

468

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

Productivity•Multimodal•Image understanding

834

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

Programming•Multimodal•Visual Language Model

2406

DocLLM — Multimodal Document Understanding Model

Productivity•Multimodal•Document Understanding

1500

CosyVoice 2 — Scalable streaming voice synthesis technology powered by large language models.

Productivity•Voice Synthesis•Streaming

Infini-Megrez — Multimodal understanding model for edge applications, enabling intelligent edge solutions through hardware-software collaboration.

Productivity•Artificial Intelligence•Deep Learning

RWKV-6 Mixture of Experts — The largest model in the RWKV family, utilizing MoE technology to enhance efficiency.

Programming•Machine Learning•MoE

Command R7B — Fast and Efficient Generative AI Model

Productivity•Machine Learning•Large Language Models

POINTS-Yi-1.5-9B-Chat — Latest advancements in visual language models, integrating new technologies from WeChat AI.

Productivity•Visual Language Model•WeChat AI

InternVL2_5-4B — A multimodal large language model that integrates visual and language understanding.

Image•Multimodal•Large Language Model

MLPerf Client — Personal Computer AI Performance Benchmarking

Productivity•AI Performance Testing•Benchmarking

InternVL2_5-2B — A multimodal large language model that supports deep interaction between images and text.

Image•Multimodal•Large Language Model

InternVL2_5-1B — A large multimodal language model that supports image and text understanding.

Image•Multimodal•Large Language Model

Gemini 2.0 Flash — Next-generation AI tool for developers, enhancing development efficiency and application interactivity.

InternationalSelection•Development•Code Assistance

150

Gemini 2.0 — Google's next-generation AI model, ushering in a new era of intelligent assistants.

372

MAmmoTH-VL — A Large-Scale Multimodal Reasoning and Instruction Tuning Platform

Others•Multimodal•Reasoning

E2M — A Python library for converting various file types to Markdown format.

Programming•Markdown Conversion•Document Parsing

Best AI Websites & Tools

MM1.5

MM1.5 Visit Over Time

MM1.5 Visit Trend

MM1.5 Visit Geography

MM1.5 Traffic Sources

MM1.5 Alternatives

InternVL2_5-38B — Advanced Multimodal Large Language Model Series

Qwen2-VL-2B — A state-of-the-art visual language model that supports multimodal understanding and text generation.

Pixtral-Large-Instruct-2411 — A 124B-parameter multimodal large language model.

Pixtral Large — State-of-the-art multimodal AI model for image and text understanding.

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

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

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

DCLM — Comprehensive framework for building and training large language models

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

CogVLM2 — Second-generation multimodal pre-trained dialogue model

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

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

DocLLM — Multimodal Document Understanding Model

CosyVoice 2 — Scalable streaming voice synthesis technology powered by large language models.

Infini-Megrez — Multimodal understanding model for edge applications, enabling intelligent edge solutions through hardware-software collaboration.

RWKV-6 Mixture of Experts — The largest model in the RWKV family, utilizing MoE technology to enhance efficiency.

Command R7B — Fast and Efficient Generative AI Model

POINTS-Yi-1.5-9B-Chat — Latest advancements in visual language models, integrating new technologies from WeChat AI.

POINTS-Qwen-2-5-7B-Chat — Latest advancements in visual language models

WePOINTS — WePOINTS project offers a unified framework for multimodal models.

InternVL 2.5 — Open-source multimodal large language model series

InternVL2_5-4B — A multimodal large language model that integrates visual and language understanding.

MLPerf Client — Personal Computer AI Performance Benchmarking

InternVL2_5-2B — A multimodal large language model that supports deep interaction between images and text.

InternVL2_5-1B — A large multimodal language model that supports image and text understanding.

Gemini 2.0 Flash — Next-generation AI tool for developers, enhancing development efficiency and application interactivity.

Gemini 2.0 — Google's next-generation AI model, ushering in a new era of intelligent assistants.

MAmmoTH-VL — A Large-Scale Multimodal Reasoning and Instruction Tuning Platform

E2M — A Python library for converting various file types to Markdown format.