Llama 3.3 70B Versatile (Groq)
Llama 3.3 70B Versatile is Meta's 70-billion-parameter instruction-tuned model served on Groq's LPU inference hardware, delivering rapid responses across a broad range of language tasks. It combines strong reasoning, instruction-following, and multilingual ability with the low latency that Groq's architecture is known for.
Positioned as a general-purpose workhorse, this model handles everything from document summarization and content drafting to structured data extraction and multi-turn conversation. Its 70B scale provides depth that smaller models lack, while Groq's hardware keeps time-to-first-token competitive with models a fraction of its size.
Key Features
Broad instruction-following across writing, analysis, and Q&A tasks
Strong multilingual comprehension and generation
Multi-turn conversational coherence over extended dialogues
Structured output and JSON-mode compatible responses
Low-latency inference on Groq LPU hardware
Effective at summarization, classification, and entity extraction
Ideal Use Cases
Customer support chatbots needing fast, accurate replies
Document summarization and report drafting
Multilingual content translation and adaptation
Structured data extraction from unstructured text
Internal knowledge-base Q&A applications
Example Prompts for Llama 3.3 70B Versatile (Groq)
Technical Specifications
| Provider | Groq |
| Category | Text |
| Modality | Text -> Text |
Frequently Asked Questions
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