Llama 3 70B Instruct
Llama 3 70B Instruct is Meta's flagship open-weight model from the Llama 3 family, instruction-tuned for broad task coverage. At 70 billion parameters, it offers frontier-competitive reasoning, coding, and instruction-following capability while remaining open-source under Meta's Llama 3 community license, making it a reference model for the open LLM ecosystem.
The model demonstrates strong performance on knowledge-intensive tasks, multi-step reasoning, and code generation, and was trained on a substantially expanded and filtered corpus compared to Llama 2. It serves as a foundation for enterprise fine-tuning, academic research, and hosted inference services seeking a powerful open alternative to proprietary APIs.
Key Features
70B parameters delivering frontier-tier reasoning for an open model
Strong multi-step and chain-of-thought reasoning capability
High-quality code generation across multiple programming languages
Knowledge-intensive Q&A benefiting from broad training corpus
Open weights enabling fine-tuning, distillation, and research use
Ideal Use Cases
Enterprise fine-tuning for domain-specific assistants
Complex reasoning pipelines requiring a capable open model
Code review and generation at scale
Academic research needing reproducible open-weight baselines
Example Prompts for Llama 3 70B Instruct
Technical Specifications
| Provider | Meta |
| Category | Text |
| Modality | Text -> Text |
| Context Window | 8K tokens |
Frequently Asked Questions
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