# Zero-shot adaptation

This project uses the mergekit and DARE TIES methods to merge the soob3123/amoral-gemma3-12B-v2 and IlyaGusev/saiga_gemma3_12b models, aiming to provide more powerful language processing capabilities.

A realism image generation model based on Stable Diffusion XL, specializing in Asian-style and Japanese-style image generation.

This is an 8B-parameter-scale language model merged using the mergekit tool, based on Sao10K/L3-8B-Stheno-v3.2 as the foundation model, incorporating features from Jamet-8B-L3 and Llama-3-Lumimaid-8B

A text-to-video generation model based on the AllenNLP library, capable of generating corresponding video content according to the input text description.

This model can convert text descriptions into video content and is suitable for various creative and automated scenarios.

This is a text-to-video model that can convert the input text description into corresponding video content.

This is a binary classification model trained via AutoTrain, specifically designed to differentiate between animal and human images.

This is a binary classification vision model trained using AutoTrain, specifically designed for image classification tasks.

A binary classification model trained with AutoTrain, specifically designed to distinguish between images of cats and dogs

A visual model for classifying environmental cleanliness, capable of identifying dirty or clean scenes in images

This is a binary classification visual model trained via AutoTrain, capable of accurately distinguishing between two types of images.

This is a binary classification model trained using AutoTrain, specifically designed to distinguish between images of cats and dogs.

An efficient SPLADE model for paragraph retrieval, using a dual-model architecture to handle query and document inference separately.

A highly efficient general-purpose large language model developed by OpenAI, suitable for various natural language processing tasks