ai/llama3.3 repository overview

⁠Llama 3.3

Meta Llama 3.3 is a powerful 70B parameter multilingual language model designed by Meta for text-based tasks like chat and content generation. The instruction-tuned version is optimized for multilingual dialogue and performs better than many open-source and commercial models on common benchmarks.

⁠Intended uses

• Multilingual assistant-like chat: Using instruction-tuned models for conversational AI across multiple languages, enabling natural and context-aware interactions in various linguistic settings.

• Coding support and software development tasks: Leveraging language models to assist with code generation, debugging, documentation, and other software engineering workflows.

• Multilingual content creation and localization: Generating and adapting written content across different languages and cultures, supporting global communication and engagement.

• Knowledge-based applications: Integrating LLMs with structured or unstructured data sources to answer questions, extract insights, or support decision-making.

• General natural language generation: Various NLG tasks such as summarization, translation, or content generation across different domains.

• Synthetic data generation (synth): Creating realistic, high-quality synthetic text data to augment datasets for training, testing, or anonymization purposes.

⁠Characteristics

⁠Available model variants

¹: VRAM estimated based on model characteristics.

⁠Use this AI model with Docker Model Runner

First, pull the model:

docker model pull ai/llama3.3

Then run the model:

docker model run ai/llama3.3

For more information on Docker Model Runner, explore the documentation⁠.

⁠Benchmark performance

⁠Links

• Introducing Meta Llama 3: The most capable openly available LLM to date⁠
• The Llama 3 Herd of Models⁠