Lapa LLM v0.1.2 is an open-source large language model for Ukrainian language processing developed based on Gemma-3-12B. It focuses on natural language processing tasks in Ukrainian and shows excellent performance in Ukrainian language processing.

MultimodalTransformersMultiple Languages

Lapa LLM 12B PT is an open-source large language model developed based on Google Gemma 3-12B, specifically optimized for Ukrainian language processing. It is developed by research teams from multiple Ukrainian universities and performs excellently in Ukrainian language processing, with efficient instruction fine-tuning and multimodal capabilities.

MultimodalTransformersOther

EmoBench - UA is a model for detecting the sentiment of Ukrainian text, capable of recognizing six basic emotions (joy, anger, fear, disgust, surprise, sadness) and the state of no emotion.

Natural Language ProcessingTransformersOther

A Ukrainian-optimized model based on Gemma 2 9B, developed by INSAIT Institute, featuring exceptional Ukrainian cultural and language understanding while retaining the original top-tier English capabilities.

Natural Language ProcessingTransformersMultiple Languages

LaMini-Flan-T5-783M is a lightweight text generation model based on the T5 architecture, supporting English, Russian, and Ukrainian, suitable for various natural language processing tasks.

Natural Language ProcessingTransformersMultiple Languages

This is a fine-tuned sentence transformer model based on xlm-roberta-base, supporting English and Ukrainian, suitable for tasks like semantic textual similarity and semantic search.

Natural Language ProcessingSafetensorsMultiple Languages

Ukrainian instruction fine-tuned model based on Mistral-7B, trained efficiently using Unsloth and TRL libraries

Natural Language ProcessingTransformersEnglish

A Ukrainian-specific speech synthesis model fine-tuned based on Fish Speech 1.5, supporting high-quality voice generation for 55 speakers

A Ukrainian automatic speech recognition model trained on the mHuBERT-147 base model, supporting Ukrainian speech-to-text tasks.

Audio ProcessingSafetensorsOther

Ukrainian speech recognition model fine-tuned on Yehor/openstt-uk dataset, based on facebook/w2v-bert-2.0

Audio ProcessingTransformersOther

Experimental Japanese Ukiyo-e style image generation model for educational purposes

Computer VisionDiffusersJapanese

BritLLM is an unprocessed pre-trained model that supports multiple UK native languages and is suitable for various natural language processing tasks, but requires further fine-tuning to adapt to most usage scenarios.

Natural Language ProcessingTransformersMultiple Languages

This is a Ukrainian and English language model based on the Llama-2-7b architecture, converted to GGUF format for use with the llama.cpp framework.

Natural Language ProcessingGgufMultiple Languages

Llama-2-7b-Ukrainian Version is a bilingual pre-trained model supporting Ukrainian and English, based on continued pre-training of Llama-2-7b using 5 billion tokens of data from CulturaX.

Natural Language ProcessingTransformersMultiple Languages

This is an unconditional image generation diffusion model based on PyTorch and Diffusers library, specifically designed to generate adorable butterfly images.

Computer VisionDiffusers

A headline generation model fine-tuned on Ukrainian news datasets based on the multilingual mT5 model, capable of generating concise and accurate headlines for Ukrainian news articles.

Natural Language ProcessingTransformersOther

Named entity recognition model fine-tuned based on Roberta Large Ukrainian model, supporting 13 entity types recognition

Natural Language ProcessingSpacyOther

Spivavtor-xxl is an instruction fine-tuned Ukrainian text editing model based on the CohereForAI/aya-101 model, focusing on tasks such as text rewriting, simplification, and grammar correction.

Natural Language ProcessingTransformersOther

Spivavtor-Large is an instruction fine-tuned Ukrainian text editing model focused on tasks such as text rewriting, simplification, grammar correction, and coherence optimization.

Natural Language ProcessingTransformersOther

A sentence embedding model optimized for Ukrainian, based on the multilingual MPNet architecture, suitable for semantic similarity and feature extraction tasks

Natural Language ProcessingSentence-transformersMultiple Languages