# Multi-task text generation

A large language model developed by NVIDIA, based on the Llama-3 architecture, with 49 billion parameters, suitable for various text generation tasks.

A Thai instruction model fine-tuned based on kobkrit/thai-t5-base, supporting tasks like dialogue, Q&A, and summarization

Mistral-NeMo-Minitron-8B-Base is a basic text generation model obtained by pruning and distilling Mistral-NeMo 12B, suitable for various natural language generation tasks.

Gemma is a lightweight and cutting-edge open model series launched by Google. It is built on the same technology as Gemini and is suitable for various text generation tasks.

This is a merged pre-trained language model built on Meta Llama 3, which combines the advantages of the SimPO and SPPO-Iter3 models and is suitable for text generation tasks.

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.

An 8B parameter model based on the Llama 3 architecture, trained with various DPO datasets, focused on text generation tasks

A multi-functional large language model based on the Mixtral architecture, integrating deep mind and self-optimizing capabilities, supporting multi-language text generation and complex reasoning tasks

An Italian large language model optimized based on Meta-Llama-3-8B, supporting English and Italian text generation tasks

Portuguese model trained on a 300,000 Portuguese instruction dataset, fine-tuned from microsoft/Phi-3-mini-4k

An enhanced version based on Meta-Llama-3-8B-Instruct, fine-tuned and optimized through the Cabra 30k dataset, with special optimization for Portuguese understanding and response.

Orbita-v0.1 is a Turkish large language model based on Qwen 14B, possessing diverse capabilities across multiple dimensions in Turkish, covering tasks such as programming and mathematics.

A Portuguese instruction-optimized model fine-tuned based on Mistral-7B, trained with 200,000 Portuguese instructions, filling the gap in Portuguese language models

A Portuguese large language model fine-tuned based on Mistral-7B-Instruct-v0.2, focusing on improving Portuguese text generation capabilities

Gemma is a lightweight open-source large language model launched by Google. It is built on the same technology as Gemini and is suitable for various text generation tasks.

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

Gemma is a lightweight open-source large language model introduced by Google, built on the same technology as Gemini, suitable for various text generation tasks.

Gemma is a lightweight open-source large language model series introduced by Google, built upon the research and technology used to create Gemini models.

TinyMistral-248M-v3 is a small language model with 248M parameters, currently still in training, having processed approximately 21 billion tokens.

A large language model fine-tuned on the truthy-dpo-v0.1 dataset based on the WestLake-7B-v2-laser model, specializing in text generation tasks and demonstrating excellent performance in multiple benchmarks.

A large language model created by merging two Solar-10.7B instruction-tuned models, with performance comparable to GPT-3.5 and Gemini Pro, surpassing Mixtral-8x7b

An experimental 34B model based on LLaMa-Yi-34B, trained on multiple datasets through SFT, DPO, and UNA techniques, with outstanding performance on the HuggingFace Open LLM Leaderboard

Starling-7B is an open-source large language model trained through Reinforcement Learning from AI Feedback (RLAIF), fine-tuned based on Openchat 3.5, and performs excellently in MT Bench.

A 7B-parameter large language model based on the Mistral architecture, utilizing SLERP fusion technology to merge weights from multiple high-performance models

Continuously trained on the MMLU dataset based on the Llama-2-7b-hf model to improve MMLU metrics while maintaining stability in other indicators

GenZ is an advanced large language model fine-tuned from Meta's open-source Llama V2 70B parameter model, designed to provide high-performance text generation capabilities for the open-source community.

Noon is a 7 billion parameter Arabic large language model based on the BLOOM architecture, specifically designed for instruction fine-tuning. It supports tasks such as text generation, code generation, mathematical problem solving, and Q&A.