Llama 3.2 3B Instruct is an LLM designed for multilingual dialogue, reasoning, and summarization tasks. It excels in instruction-following, multilingual support (8 languages), and efficient performance for text generation and retrieval within a compact model size, making it suitable for both research and commercial applications that require accuracy and efficiency in low-resource or on-device settings.

Some other noteworthy features of Llama 3.2 3B Instruct include its use of supervised fine-tuning and reinforcement learning with human feedback for alignment and safety, as well as support for agentic retrieval and summarization use cases.

Metric	Value
Parameter Count	3.21 billion
Mixture of Experts	No
Context Length	128,000 tokens
Multilingual	Yes
Quantized*	No

*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.