# Few-shot Adaptation

Cuckoo is a 300-million-parameter information extraction model that mimics the next-token prediction paradigm of large language models for information extraction, capable of self-enhancement using various text resources.

Cuckoo is a small (300M parameters) information extraction (IE) model that mimics the next-token prediction paradigm of large language models by predicting the next token in a given context.

Super Rainbow Cuckoo is a small-scale information extraction model based on the Next Token Extraction (NTE) paradigm, achieving efficient information extraction by mimicking the prediction methods of large language models.

Smart-Lemon-Cookie-7B is a pre-trained language model merged using mergekit, combining the strengths of multiple models, suitable for text generation and role-playing tasks.

Blurdus-7b-v0.1 is a hybrid model obtained by merging three 7B-parameter models using LazyMergekit, demonstrating excellent performance across multiple benchmarks.

supermario-v2 is a merged model based on Mistral-7B-v0.1, combining three different models using the DARE_TIES method, with strong text generation capabilities.

A video action recognition model based on TimeSformer architecture, pre-trained on Kinetics-400 dataset and fine-tuned on UCF101 dataset

This model is a fine-tuned Vision Transformer based on google/vit-base-patch16-224-in21k, primarily used for image classification tasks.

An image classification model fine-tuned on image folder dataset based on Microsoft's ResNet-50 model, achieving 97.64% accuracy

This is a Chinese RoBERTa medium model pre-trained on CLUECorpusSmall, featuring 8 layers and 512-dimensional hidden layers, suitable for various Chinese natural language processing tasks.