meta-llama/Llama-3.2-1B-Instruct is an LLM designed for efficient, multilingual instruction following and dialogue-based applications. It excels in delivering helpful conversational responses, question answering, summarization, and instruction adherence, particularly on edge and mobile devices due to its small parameter size and optimized architecture.

Some other noteworthy use cases of meta-llama/Llama-3.2-1B-Instruct include personal information management and multilingual knowledge retrieval, where privacy and on-device execution are prioritized.

Metric	Value
Parameter Count	1 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.