# Instruction following

A Korean-optimized text generation model with instruction-following capability, featuring lightweight design suitable for edge device deployment

A Persian-specific model based on the Gemma 3 architecture, utilizing QLoRA for 4-bit quantization, focused on Persian text generation and understanding

Lamarckvergence-14B is a pre-trained language model merged via mergekit, combining Lamarck-14B-v0.7 and Qwenvergence-14B-v12-Prose-DS. It ranks first among models with fewer than 15B parameters on the Open LLM Leaderboard.

The first groundbreaking large language model for Persian, with 13 billion parameters, trained on the Persian Wikipedia corpus, specifically designed for various natural language processing tasks.

MobiLlama-1B-Chat is an instruction-following model fine-tuned from MobiLlama-1B, specifically designed for resource-constrained devices, emphasizing efficiency, low memory footprint, and fast response.

The Violet series language models are specifically trained for instruction following and maintaining Russian dialogues. The fourth generation has been optimized with RLHF, offering stronger response capabilities and richer information content.

Boana-7B-Instruct is a Portuguese instruction fine-tuned model based on LLaMA2-7B, specifically designed for Portuguese-speaking users, offering a lower-complexity LLM option.

A 7-billion-parameter Self-RAG model capable of generating outputs for diverse user queries, adaptively invoking retrieval systems, self-criticizing outputs and retrieved passages, while generating reflection tokens.

A version fine-tuned on Korean datasets based on the Llama2 70B model, focusing on Korean and English text generation tasks

StableVicuna-13B is a dialogue model fine-tuned via RLHF based on Vicuna-13B v0, using 4-bit GPTQ quantization format

StableVicuna-13B is a fine-tuned version of the Vicuna-13B v0 model, enhanced through Reinforcement Learning from Human Feedback (RLHF) and Proximal Policy Optimization (PPO) on various dialogue and instruction datasets.

Instruction-following model fine-tuned on LLaMA-7B, specifically optimized for code instruction scenarios