Code Llama 70B

Description

Through open science and collaboration with the AI community, we are pushing the boundaries of artificial intelligence to create a more connected world. We can’t advance the progress of AI alone, so we actively engage with the AI research and academic communities. Our goal is to advance AI in Infrastructure, Natural Language Processing, Generative AI, Vision, Human-Computer Interaction and many other areas of AI enable the community to build safe and responsible solutions to address some of the world’s greatest challenges.

Key Features

• Large Language Model: Llama is a large language model from Meta, boasting 405 billion parameters for powerful text processing.
• Multi-lingual Processing: It can understand and generate text in eight languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
• Flexibility and Control: Llama offers developers a high degree of control over the model's outputs.
• Fast Response Times: It delivers responses quickly, making it ideal for real-time applications.
• Multi-language & Multimedia Capabilities (Llama 3.1+): It can process and generate multimedia content like stylized selfies based on user input.
• Security and Privacy: Security and privacy are prioritized in Llama's design.
• Versatility in Applications: Llama can be adapted for a wide range of applications across various industries.
• Community Support: Meta provides ongoing support and resources for the Llama developer community.
• Multiple Programming Language Support: Developers can choose from Python, Node.js, Kotlin, and Swift to work with Llama.
• Deployment Flexibility: Llama can be deployed on-premise, locally hosted, or even on-device at the edge. (Llama 3.2+)

Use Cases

• Text generation: Llama-3 can be used to generate different creative text formats of text content, like poems, code, scripts, musical pieces, email, letters, etc. It can1 also be used to create summaries of factual topics
• Multimodal capabilities: Llama-3 can also be used for image use cases such as transforming an existing image or getting more information from an image.
• On-device applications: Llama-3 also offers models that can be used on devices for tasks like summarizing a discussion or using on-device tools.

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