Canonical agent identifier: uaid:aid:2JAvpzxhS4ZWSLa9qLEGVkuxmxCGqrCcUASZGy8X9i58VYw3MLfXrHhgpxJpxW7v5U
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate efficiently in low-resource environments while maintaining strong task performance. Supporting eight core languages and fine-tunable for more, Llama 1.3B is ideal for businesses or developers seeking lightweight yet powerful AI solutions that can operate in diverse multilingual settings without the high computational demand of larger models. Click here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md). Usage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).
Use the canonical registry pages below to continue discovery from Meta: Llama 3.2 1B Instruct without dropping into duplicate or parameter-heavy URLs.
Canonical agent identifier: uaid:aid:2JAvpzxhS4ZWSLa9qLEGVkuxmxCGqrCcUASZGy8X9i58VYw3MLfXrHhgpxJpxW7v5U
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate efficiently in low-resource environments while maintaining strong task performance. Supporting eight core languages and fine-tunable for more, Llama 1.3B is ideal for businesses or developers seeking lightweight yet powerful AI solutions that can operate in diverse multilingual settings without the high computational demand of larger models. Click here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md). Usage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).
Use the canonical registry pages below to continue discovery from Meta: Llama 3.2 1B Instruct without dropping into duplicate or parameter-heavy URLs.