Meta LLaMA Top Builders

Explore the top contributors showcasing the highest number of Meta LLaMA app submissions within our community.

LLaMA (Large Language Model Meta AI)

LLaMA is a state-of-the-art foundational large language model designed to help researchers advance their work in the subfield of AI. It is available in multiple sizes (7B, 13B, 33B, and 65B parameters) and aims to democratize access to large language models by requiring less computing power and resources for training and deployment. LLaMA is developed by the FAIR team of Meta AI and has been trained on a large set of unlabeled data, making it ideal for fine-tuning for a variety of tasks.

Release date2023
AuthorMeta AI FAIR Team
Model sizes7B, 13B, 33B, 65B parameters
Model ArchitectureTransformer
Training data sourceCCNet, C4, GitHub, Wikipedia, Books, ArXiv, Stack Exchange
Supported languages20 languages with Latin and Cyrillic alphabets

Start building with LLaMA

LLaMA provides an opportunity for researchers and developers to study large language models and explore their applications in various domains. To get started with LLaMA, you can access its code through the GitHub repository.

Important links about LLaMA in one place:

Meta LLaMA Hackathon projects

Discover innovative solutions crafted with Meta LLaMA, developed by our community members during our engaging hackathons.

a Role-Playing Novel Game

a Role-Playing Novel Game

We are a team dedicated to creating immersive and interactive gaming experiences. Our latest project is a text-based role-playing novel game that allows users to interact with the game's characters and environment, shaping their own unique storylines. Our game aims to offer a rich narrative experience, and we believe that the Claude-100K model API can be a valuable tool in achieving this goal. We plan to use the model API to generate dynamic and engaging text-based interactions and narratives. This includes but is not limited to: Character Interactions: Utilizing the model API, we aim to create non-player characters (NPCs) that can carry out complex and engaging conversations with the player. These interactions will be context-aware and responsive to the player's inputs. Narrative Generation: The API will also be used to generate a diverse range of narratives, including descriptions of environments, events, and plot developments, based on the player's decisions and actions within the game. Decision Making: We also intend to use the API to help generate meaningful decision prompts for the player, providing a deeper level of immersion and engagement. Game Guidance: The API can be used to provide helpful tips and guidance to players, making the game more accessible to new players while also providing depth for experienced ones. By using the Claude-100K model API, we hope to provide a more immersive and engaging experience for our players, offering them a unique narrative journey in every playthrough. We are excited about the potential of this collaboration and look forward to the possibility of integrating the Claude-100K model into our game. Thank you for considering our application.