Technical characteristics of LLaMa 3.2 3B
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Architecture: Built using distillation methods from larger Llama 3.1 models such as 8B and 70B.
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Parameter count: 3 billion
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Language support: Multilingual support.
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Applications: Used for multilingual translation, rewriting instructions and generating text in real time.
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Unique features: This model also runs locally and can handle tasks involving tool use and real-time work on mobile and embedded devices. (not available in GPTunneL)
Prompting recommendations for Llama 3.2 3B
Rewriting texts:
The model is ideal for rephrasing text.
Example:
Rewrite the instruction so that even a beginner can understand it.
Multilingual tasks:
Use the model to translate or process text in different languages.
Example:
Translate this article from English into Spanish.
Working with instructions:
Use requests to generate instructions or tasks.
Example:
Draft a task brief for my team on designing a logo for my coffee shop.