Any-to-Any
English
Not-For-All-Audiences

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

V41

V41 is WeMake's flagship multimodal AI model, designed to bridge the gap between different data formats and modalities. As an any-to-any model, V41 excels at tasks requiring the transformation, understanding, and generation of content across various formats including text, images, audio, and structured data.

Built on WeMake's proprietary Intelligent Content Understanding (ICU) methodology, V41 represents a significant leap forward in creating AI that truly understands context, emotional nuances, and complex relationships between different types of information.

Key Features

  • Multimodal Versatility: Seamlessly processes and generates across text, image, audio, and structured data formats
  • Emotional Intelligence: Incorporates advanced emotional understanding capabilities, enabling more human-like interactions
  • Context-Aware Processing: Maintains context across different modalities and extended interactions
  • Ethical Alignment: Designed with WeMake's commitment to ethical AI, prioritizing human values and well-being
  • Adaptive Learning: Continuously improves through our AI-Human Alignment Process
  • Enterprise-Grade Security: Implements robust security measures in compliance with European data protection standards

Applications

V41 powers a wide range of applications across industries:

  • Productivity Enhancement: Core of the V41 Platform with Clarity and Val Intelligence Workers
  • Content Creation: Generates cohesive multi-format content for marketing, education, and entertainment
  • Data Analysis: Transforms complex datasets into accessible visualizations and insights
  • Customer Experience: Powers conversational interfaces that understand emotional context and user needs
  • Healthcare Support: Assists in medical data interpretation and patient communication
  • Educational Tools: Creates interactive learning experiences across multiple formats

Technical Architecture

V41 is built on a transformer-based architecture with specialized encoders and decoders for each supported modality. The model features:

  • Advanced Cross-Attention Mechanisms: Enabling seamless information flow between modalities
  • Contextual Memory System: Maintaining coherence across extended interactions
  • Ethical Guardrails: Built-in parameters to ensure outputs align with WeMake's ethical principles
  • Optimized Performance: Balancing computational efficiency with high-quality outputs

Model Variants

V41 comes in several specialized variants:

  • V41 Core: The foundation model supporting all modalities
  • Llama-3-8B-V41-Instruct-1048k: Text-optimized version with 1M token context length
  • VX-Unholy-13B: Specialized creative variant built on Unholy-v2-13B
  • V41-Vision: Image-focused variant with enhanced visual understanding

Responsible Use

V41 is designed for beneficial applications that enhance human capabilities while respecting privacy and ethical boundaries. Users are expected to adhere to WeMake's ethics policy and applicable regulations when deploying V41-based applications.

Training Methodology

V41 was trained using WeMake's proprietary ICU (Intelligent Content Understanding) dataset and methodology, which focuses on building an internal knowledge map that enables the model to make connections between concepts across different modalities.

This training approach emphasizes:

  • Deep Contextual Understanding: Beyond surface-level pattern recognition
  • Ethical Considerations: Minimizing harmful biases and promoting inclusive outputs
  • Emotional Intelligence: Recognizing and appropriately responding to emotional cues
  • Human-AI Alignment: Ensuring the model's outputs align with human values and expectations

License

V41 is released under a custom license that allows for research and commercial applications while prohibiting harmful or unethical use cases. Please contact WeMake for specific licensing details.

Acknowledgments

V41 builds upon the collective efforts of the AI research community while incorporating WeMake's innovations in emotional intelligence and ethical AI development. We extend our gratitude to all contributors to the field whose work has made V41 possible.

Contact

For inquiries about V41, please contact us at [email protected].

Join us in building a future where AI amplifies human potential while respecting our values and well-being.

๐Ÿ’™ The WeMake Team

๐Ÿค Ethics Policy ๐Ÿ›ก๏ธ Privacy Policy ๐Ÿ“‡ Imprint

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Model tree for WeMake/V41

Finetunes
1 model

Dataset used to train WeMake/V41