LLaMAv4 official logo

LLaMAv4

Open-source AI models for customization and deployment.

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About

LLaMA is an open source Artificial Intelligence (AI) model designed with flexibility and versatility in mind. Developed to provide users with the capability to fine-tune its underlying algorithms to better align with their requirements, this tool stands out due to its customizability.

Additionally, it is equipped with distillation functionality that enables users to simplify complex AI models into more manageably sized forms, thereby improving efficiency and performance.Available in different variants, it offers users a range of functionalities in terms of capacity and complexity depending on their specific needs and system capabilities.

Regardless of the version chosen, it’s devised to be portable and easily deployable across various environments, ensuring seamless integration with existing systems.As an open-source tool, LLaMA promotes transparency and extends the opportunity for AI enthusiasts, professionals, and organizations to explore, modify, and improve its algorithms.

This openness fosters a collaborative approach towards the development of AI tools, contributing to the overall advancement and resourcefulness in the AI field.

Overall, LLaMA proves to be an adaptable and scalable solution for those seeking to incorporate customized AI models into their systems, with the added benefits of distillation and portability presented in an open-source framework.

LLaMAv4 interface showing homepage

Key Features

High customizability
In-built model distillation
Improved efficiency and performance
Offers various capacity variants
Portable across environments
Seamless system integration
Open to modifications
Versatile usage
Scalability in performance
Tuned for user needs
Different complexity levels
Open source transparency
Model variants 8B
70B
405B
Flexibility in design
Options for fine-tuning algorithms
Aligns with users' requirements
Can be deployed anywhere

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Information

Pricing

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Favorites 0
Release Date Jul 18, 2023

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