# Instruction Following Optimization

Falcon-H1 is a causal decoder-only language model developed by TII with a hybrid Transformers+Mamba architecture, supporting English and multilingual tasks.

Llama-SEA-LION-v3.5-8B-R is an 8B-parameter large language model optimized for Southeast Asian languages, supporting 13 languages with capabilities in complex reasoning and general text generation.

A text summarization model fine-tuned from the Llama-3.2-1B instruction model, excelling at generating concise yet informative summaries from lengthy texts.

KULLM3 is a Korean large language model with advanced instruction-following capabilities and fluent conversational features, performing close to GPT-3.5-turbo in Korean.

Code Llama is a series of pre-trained and fine-tuned generative text models specifically designed for general-purpose code synthesis and understanding. This model is the 70-billion-parameter instruction-tuned version.

LLaVa-Phi-2-3B is an open-source multimodal chatbot model, fine-tuned based on the Phi-2 architecture, capable of processing image and text inputs to generate natural language responses.

A multilingual large language model based on Mistral 7B, incorporating chat vector technology, focused on text generation tasks

AmberChat is an instruction-following model fine-tuned from LLM360/Amber, belonging to the LLM360 Pebble model series.