# Multilingual instructions

Mistral Small 3.2 24B Instruct 2506 is a multilingual large language model that supports text and image input and text output, with a context length of 128k.

High-performance GGUF conversion version based on Qwen3-14B large language model, optimized for creative reasoning, deep dream logic, agent interaction, and multilingual instructions

INT4 quantized version of Qwen3-32B, reducing disk and GPU memory requirements by 75% through weight quantization while maintaining high performance

Qwen3-30B-A3B-FP8-dynamic is an FP8 quantized version of the Qwen3-30B-A3B model, significantly reducing memory requirements and computational costs while maintaining the high accuracy of the original model.

Granite-3.2-2B-Instruct is a 2-billion-parameter long-context AI model specifically fine-tuned for reasoning capabilities. Built upon Granite-3.1-2B-Instruct, it was trained using a mix of permissively licensed open-source datasets and internally generated synthetic data to enhance performance on reasoning tasks.

Sherkala is an 8-billion-parameter Kazakh-prioritized multilingual large language model jointly developed by G42's Inception and MBZUAI, supporting Kazakh, English, Russian, and Turkish.

The AWQ 4-bit quantization version of Llama-3.3-70B-Instruct, developed by Meta AI, supports multiple languages and is suitable for text generation tasks.

A Russian-optimized instruction model based on Llama-3.2-1B-Instruct, with a 5-fold increase in efficiency, suitable for deployment on low-power devices

A Japanese-optimized large language model built on Meta Llama 3, enhancing Japanese capabilities through continuous pre-training and improving instruction-following abilities through supervised fine-tuning.