# Instruction tuning

Gemma 3n is a lightweight and state-of-the-art open-source multimodal model family launched by Google, built on the same research and technology as the Gemini model. It supports text, audio, and visual inputs and is suitable for various tasks.

Gemma 3 is a lightweight and advanced multimodal open model launched by Google. It is built on the same research and technology as the Gemini model, supporting text and image inputs and generating text outputs.

Gemma 3 is a lightweight advanced open model series launched by Google, built on the same research and technology as the Gemini models. This model is multimodal, capable of processing both text and image inputs to generate text outputs.

A natural language inference model optimized through multi-task fine-tuning based on the ModernBERT-large model, excelling in zero-shot classification and NLI tasks.

Llama 3.1 Swallow is a series of large language models built on Meta Llama 3.1. It enhances Japanese language capabilities through continuous pre-training while retaining English language capabilities.

SEA-LION is a series of large language models optimized for Southeast Asian languages, supporting 13 Southeast Asian languages and built on the Llama 3.1 architecture.

Gemma is a lightweight open-source large language model series launched by Google, built on the same technology used to create Gemini models, suitable for various text generation tasks.

Cyclone 0.5* is an open-source large language model supporting Russian and English, extending the RoPE context window to 32k and optimizing JSON processing and multi-turn dialogue capabilities

Gemma is a lightweight open model series launched by Google, built with the same technology as Gemini, suitable for text generation tasks.

Xiandu (Cendol) is an open-source collection of generative large language models fine-tuned for the Indonesian language, covering various architectures and parameter scales.