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A lightweight 1-billion parameter language model optimized for efficient inference on resource-constrained devices and edge deployment, ideal for developers and organizations seeking to run conversational AI locally without requiring expensive hardware while maintaining a 131K token context window for handling longer documents and conversations.
Best for
Community reliability estimate · not official
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
Input & output cost per 1M tokens over time
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Learn how to use Llama 3.2 1B
💡 Tip: Start with the sample prompts above to see how Llama 3.2 1B works best.
Proven prompts shared by the community for this model