Llama 3.3 70B Instruct
Llama 3.3 70B Instruct is Meta's instruction-tuned 70-billion-parameter model from the Llama 3.3 generation, refined through supervised fine-tuning and RLHF to follow complex, multi-step instructions with high precision. It represents a significant step up in instruction compliance and task accuracy over the base Llama 3 70B while maintaining the open-weight accessibility the Llama series is known for.
With 70 billion parameters, this model delivers near-frontier quality for text generation, reasoning, coding assistance, and summarization. It is a popular self-hosted choice for enterprises and researchers needing a capable, controllable model without proprietary API dependency.
Key Features
70B parameter scale providing near-frontier text generation quality
Instruction fine-tuned with RLHF for precise task following
Strong performance on coding, summarization, and structured output
Open weights supporting fully private, self-hosted deployment
Improved factual accuracy and reduced over-refusal over Llama 3
Broad multilingual capability across major world languages
Ideal Use Cases
Enterprise RAG pipelines requiring a capable open-weight backbone
Coding assistance and automated code review in private environments
High-volume content generation with full data privacy
Research requiring reproducible, auditable model behavior
Fine-tuning base for domain-specialized vertical AI applications
Example Prompts for Llama 3.3 70B Instruct
Technical Specifications
| Provider | Meta |
| Category | Text |
| Modality | Text -> Text |
Frequently Asked Questions
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