- Developers & Engineers: Run code assistants, long-context summarizers, and multimodal text/image analysis.
- Researchers & Analysts: Process large documents, perform advanced reasoning, and extract insights.
- Enterprises & API Users: Access via Meta AI, Vertex AI, AWS, Azure, Hugging Face, Snowflake, and others.
- Content & Localization Teams: Generate text, translate, and moderate across 30+ languages.
- Open-Source Community: Download and deploy 8B or 70B variants freely under Meta’s open license.
How to Use Meta Llama 3?
- Access the Models: Use the 8B and 70B open-weight editions via Meta AI, Hugging Face, or major clouds; 405B runs on data-center hardware.
- Submit Prompts: Use mixed-language, code, or instruction-style prompts up to 128K tokens.
- Use Vision Inputs: Llama 3.2 added image support—operate with image + text blends for captioning, grounding, and document reasoning.
- Fine-Tune In-Context: Teach tasks interactively via examples without retraining.
- Ensure Safe Use: Utilize built-in safeguards like Llama Guard 3, Code Shield, and CyberSec Eval 2 for responsible deployment.
- Huge Context Window: 128K tokens across models—handled via grouped query attention and token masking.
- Multi-Size Open-Weight: 8B and 70B are open-source and accessible; 405B offers frontier-level performance in research settings.
- Multimodal Vision Support: Llama 3.2 adds robust image understanding models (11B/90B) for visual reasoning.
- Strong Reasoning & Code: Outperforms Llama 2, rivals GPT-4o/Gemini Pro/Sonnet, excels on MMLU, GPQA, HumanEval, and MATH benchmarks.
- Safety & Trust Innovations: Integrates Llama Guard 3, Prompt Guard, Code Shield, and CyberSec Eval 2 to reduce hallucinations and unsafe outputs.
- Massive 128K‑token context window
- Open-weight 8B & 70B models—easy to deploy
- Multilingual and multimodal: text + vision
- Excellent code & reasoning capabilities
- Strong built-in safety tooling
- 405B model requires specialized hardware
- Vision models limited to specific sizes and platforms
- Inadvertent memorization of copyrighted text noted in studies
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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