# Zero-shot reasoning

Hermes-3-Llama-3.1-405B is a large language model based on the Llama architecture, focusing on text generation tasks.

T0++ is a natural language processing model based on the T5 architecture, achieving zero-shot task generalization through multi-task prompt training, outperforming GPT-3 on various NLP tasks while being more compact.

Pre-trained model based on the Transformers library, suitable for natural language processing tasks

An 8B-parameter model based on the Llama 3.1 architecture, created by merging multiple Smarteaz series models, specializing in text generation tasks

A multi-task fine-tuned model based on ModernBERT-large, specializing in Natural Language Inference (NLI) tasks, excelling in zero-shot classification and reasoning tasks.

Moxin 7B is a powerful open-source large language model that offers various types such as base models and chat models, and has demonstrated good performance on multiple common datasets.

A vision-language model based on Microsoft Florence-2-large, excelling in image understanding and text generation tasks

XGen-MM is the latest multimodal large model series developed by Salesforce AI Research. Based on the successful design of BLIP, it achieves a more powerful and superior model architecture through fundamental enhancements.

Specific information about this model is not clearly described in the provided paper.

This is a multimodal model published via arXiv paper 2312.17090, potentially capable of text and visual processing

FLAN-T5 is an instruction fine-tuned language model based on the T5 architecture, supporting multilingual text generation tasks

This model is a lightweight natural language inference model based on DistilRoBERTa, supporting zero-shot classification tasks.

A medium-sized multilingual model from the BLOOMZ series, suitable for various natural language processing tasks.

An AI model capable of automatically generating potential questions that could lead to a given statement, created by Calvin University's advanced project.

An mBERT-based multiple-choice question answering model specifically designed for Persian (Farsi), supporting multiple-choice tasks.

Polish text generation model based on GPT2 architecture, filling the gap in Polish NLP field, trained on multilingual Oscar corpus

Indonesian natural language inference classifier based on the Indo-roberta model, trained using the IndoNLI dataset

DeBERTa-v3 XL is a large-scale pre-trained language model based on the Transformer architecture, specifically fine-tuned for natural language inference tasks.