# Multilingual instruction optimization

Mistral-Small-3.2-24B-Instruct-2506 is a minor version update of Mistral-Small-3.1-24B-Instruct-2503, which improves instruction following, reduces repetitive errors, and enhances function call capabilities, providing more efficient and accurate services.

Mistral-Small-3.2-24B-Instruct-2506 is a minor version update of Mistral-Small-3.1-24B-Instruct-2503, which improves instruction following, reduces repetition errors, and enhances function call capabilities.

A large language model with 70 billion parameters customized by NVIDIA, optimized through AWQ Int4 quantization, and performs excellently in multiple automatic alignment benchmark tests.

This is NVIDIA's AWQ 4-bit quantized version of the Llama-3.1-Nemotron-70B-Instruct model, customized based on Meta's Llama-3.1-70B-Instruct, focusing on improving the usefulness of generated responses.