Text Generation Model

Llama 3.3 70B Versatile

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.

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Publisher

Multilingual instruction-tuned text generation at 70B

Llama 3.3 70B Versatile is a 70-billion-parameter large language model developed by Meta, released in 2024. It is a pretrained and instruction-tuned text-only model that accepts text input and produces text output. The model is designed for multilingual dialogue and follows instructions across a wide range of conversational tasks.

This model is optimized specifically for multilingual use cases, making it well-suited for applications that require dialogue in multiple languages. It operates with a 128,000-token context window, allowing it to process and respond to long documents or extended conversations. On MindStudio, it is available through Groq's inference infrastructure, which provides low-latency responses for production and development workflows.

Capabilities

What Llama 3.3 70B Versatile supports

Multilingual Dialogue

Handles conversational tasks across multiple languages, optimized through instruction tuning for multilingual dialogue use cases.

Long Context Processing

Supports a 128,000-token context window, enabling processing of long documents, extended conversations, or large code files in a single request.

Instruction Following

Fine-tuned to follow natural language instructions, making it suitable for chat interfaces, task completion, and guided workflows.

Text Generation

Generates coherent, contextually relevant text for tasks such as summarization, drafting, Q&A, and content creation.

Code Assistance

Capable of generating, explaining, and debugging code across common programming languages as part of its general instruction-tuned capabilities.

Reasoning Tasks

Applies multi-step reasoning to answer complex questions, analyze arguments, and work through logical or factual problems.

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FAQ

Common questions about Llama 3.3 70B Versatile

What is the context window size for Llama 3.3 70B Versatile?

Llama 3.3 70B Versatile supports a context window of 128,000 tokens, allowing it to handle long documents and extended conversations in a single request.

What languages does this model support?

The model is described by Meta as a multilingual LLM optimized for multilingual dialogue use cases. It supports multiple languages, though specific language coverage details are documented in Meta's official model card.

What is the training data cutoff for this model?

The model was trained with a data cutoff in 2024. For precise cutoff details, refer to Meta's official Llama 3.3 model card on Hugging Face.

Is this model text-only, or does it support images and other inputs?

Llama 3.3 70B Versatile is a text-only model. It accepts text input and produces text output; it does not support image or audio inputs.

Who publishes this model and where is it hosted on MindStudio?

The model is published by Meta and is available on MindStudio via Groq's inference infrastructure, identified by the model ID llama-3.3-70b-versatile-groq.

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