# Multilingual Assistant

Meta Llama 3.1 series multilingual large language model, featuring 8B parameters, optimized for multilingual conversational use cases, supporting 8 languages.

This is the INT8 quantized version of the Meta-Llama-3.1-8B-Instruct model, optimized through weight and activation quantization, suitable for multilingual business and research applications.

Llama 3.1 is a multilingual large language model collection developed by Meta, including 8B, 70B, and 405B parameter versions, supporting 8 languages, optimized for dialogue use cases.

Llama-3.3-70B-Instruct-FP8-dynamic is an optimized large language model. By quantizing activations and weights to the FP8 data type, it reduces GPU memory requirements and improves computational throughput, supporting commercial and research use in multiple languages.

Llama 3.2 is a 1B and 3B parameter-scale multilingual pre-trained and instruction-tuned generative model from Meta, optimized for multilingual dialogue use cases and supporting 8 official languages.

Llama 3.2 is a collection of multilingual large language models released by Meta, including pre-trained and instruction-tuned versions with 1B and 3B parameter scales, optimized for multilingual conversational use cases and supporting 8 official languages.