# Multi-task support

A static quantized version of the Google Gemma-3n-E2B model, offering various quantization types to balance model size and performance.

A sentence transformer model fine-tuned based on Redis Langcache Embed v1, used to generate 768-dimensional sentence embedding vectors

Frigg-v2-8b-ACADEMIC-128K-Q4_K_M-GGUF is an 8B-parameter large language model in GGUF format, suitable for various text generation tasks.

0x Mini is a lightweight language model developed by Ozone AI, optimized based on the Llama-3.1 architecture, providing efficient text generation capabilities

This is a sentence embedding model fine-tuned from BAAI/bge-base-en-v1.5, specifically designed for financial domain texts. It can map sentences and paragraphs to a 768-dimensional vector space.

Bonito is an open-source conditional task generation model focused on transforming unannotated text into task-specific instruction-tuning training datasets.

YOLOv8 is the latest generation object detection model developed by Ultralytics, building on the success of previous YOLO versions with new features and improvements to further enhance performance and flexibility.

A Dutch pre-trained BERT model developed by the University of Groningen, suitable for various Dutch NLP tasks.

IndoBART is an advanced Indonesian language model based on the BART model, specifically designed for natural language processing tasks related to the Indonesian language.