This is a text-to-image conversion model based on LoRA technology, specifically designed to generate images with the artistic style of French Impressionist painter Berthe Morisot. This model is trained on the FLUX.2-dev base model and can convert ordinary images or text descriptions into paintings in Morisot's style.

Computer VisionDiffusers

This is a fine-tuned model based on the Cross Encoder architecture, specifically designed for text pair relevance scoring in semantic caching tasks. The model is fine-tuned on the LangCache Sentence Pairs dataset and can effectively calculate the similarity scores of text pairs, suitable for sentence pair classification and related tasks.

Natural Language ProcessingSentence-transformersEnglish

This is a fine-tuned version of the Helsinki-NLP/opus-mt-en-ber model, specifically designed for English to Atlas Tamazight translation. The model is based on the MarianMT architecture and trained with 486,000 synthetic sentence pairs, supporting translation tasks for Tamazight, Tashelhit, and Central Atlas Tamazight.

Natural Language ProcessingSafetensorsMultiple Languages

Anything2Real is a dedicated LoRA model built on Qwen Edit 2509, capable of transforming any art style (illustrations, anime, cartoons, paintings, etc.) into realistic images while preserving the original composition and content.

Computer VisionDiffusers

Parrotlet-e is an advanced multilingual medical embedding model optimized specifically for medical terms in various Indian languages. It is fine - tuned based on BAAI/bge - m3 and trained on over 18 million pairs of multilingual medical terms. It supports 12 Indian languages and English and has strong robustness against abbreviations, spelling variations, and colloquial expressions in clinical documents.

Natural Language ProcessingTransformers

Lam-3 is a small language model (SLM) in the Lamina series, fine-tuned based on Clemylia/lamina-suite-pretrain. This model can answer questions and is creative, but sometimes the answers may be rather peculiar. The model was created from scratch and trained on the Clem27sey/Nacid dataset containing 1358 question-answer pairs for 3 hours.

Natural Language ProcessingSafetensorsFrench

This is a semantic similarity calculation model based on the Cross Encoder architecture. It fine-tunes the Reason-ModernColBERT base model on the LangCache sentence pair dataset. This model is specifically designed to calculate the similarity scores between text pairs and is suitable for tasks such as sentence pair classification and semantic caching.

Natural Language ProcessingSentence-transformersEnglish

This is a semantic reordering model based on Cross Encoder, specifically fine-tuned for the Redis LangCache semantic caching system. This model can effectively calculate the similarity score of text pairs and is suitable for sentence pair classification and semantic similarity calculation tasks.

Natural Language ProcessingSentence-transformersEnglish

This is a deep learning model based on the EfficientNet-B0 architecture, specifically designed for classifying the art styles of anime and visual novel images. The model can accurately identify 6 different anime art styles, including dark, flat, modern, cute, painting, and retro styles.

Computer VisionSafetensorsEnglish

Llama Nemotron Reranking 1B is a model developed by NVIDIA specifically for text retrieval reordering. It is fine-tuned based on the Llama-3.2-1B architecture and can provide a relevance log score for query-document pairs. It supports multilingual and long document processing.

Natural Language ProcessingTransformersOther

Qwen-SEA-LION-v4-32B-IT is a large Southeast Asian language model built on Qwen3-32B, specifically pre-trained and instruction fine-tuned for the Southeast Asian region. This model continues pre-training on the SEA-Pile v2 corpus containing 7 Southeast Asian languages and undergoes instruction fine-tuning on 8 million pairs of high-quality question-and-answer data, possessing strong multilingual understanding and reasoning abilities.

Natural Language ProcessingTransformersMultiple Languages

This is a semantic re-ranking model based on the Cross Encoder architecture, specifically fine-tuned for the Redis LangCache semantic caching scenario. The model is trained on the LangCache Sentence Pairs dataset and can effectively calculate the semantic similarity scores of text pairs for sentence pair classification and re-ranking tasks.

Natural Language ProcessingSentence-transformersEnglish

Outfit-Cut is an adapter for FLUX.1-Kontext-dev of black-forest-lab, specifically designed to accurately extract specified clothing items from images. This model has been trained on 200 pairs of images and can place the clothing on a clean, solid-color background, presenting it in a professional product photography style while preserving the original texture, color, shape, and details of the clothing.

Computer VisionDiffusers

F2LLM is an open-source text embedding model fine-tuned based on Qwen3-0.6B. Through single-stage training on 6 million high-quality query-document pairs, it achieves embedding performance comparable to the current state-of-the-art models. This model is specifically designed for feature extraction tasks and supports English text processing.

Natural Language ProcessingTransformersEnglish

Gemma-3 ActuaryEnough2 is an AI model specifically designed for the actuarial field. It is fine-tuned based on over 11,000 actuarial Q&A pairs and can transform simple insurance questions into rigorous actuarial professional language. This model supports ActuaryEnough and is released in an open-source form for education and research purposes.

Natural Language ProcessingTransformersEnglish

This is a CrossEncoder model fine-tuned based on the Alibaba-NLP/gte-reranker-modernbert-base model, specifically optimized for the Redis LangCache semantic cache scenario, which can effectively calculate the semantic similarity scores of text pairs.

Natural Language ProcessingSentence-transformersEnglish

This is a cross-encoder model fine-tuned based on Alibaba-NLP/gte-reranker-modernbert-base, specifically optimized for the Redis LangCache semantic cache scenario. This model can effectively calculate the semantic similarity scores between text pairs for sentence pair classification and semantic matching tasks.

Natural Language ProcessingSentence-transformersEnglish

This is a summary generation model specifically optimized for the Lao language. It is fine-tuned based on the Google Gemma-3-4B-Instruct model and trained with over 5000 high-quality Lao language input-output pairs, mainly focusing on the Artificial Intelligence and Digital Content (AIDC) theme.

Natural Language ProcessingFastaiOther

Medical Gemma-3N is a version fine-tuned specifically for emergency medical assistance and offline medical applications based on Google's Gemma-3N-4B model. This model was trained on 86,667 medical Q&A pairs, focusing on providing accurate first aid guidance and medical consultations, especially suitable for emergency situations with limited network connectivity.

Natural Language ProcessingSafetensorsEnglish

WangchanLION-v3-IT is a multilingual large language model jointly developed by VISTEC and a Singaporean artificial intelligence company, specifically fine-tuned for Thai instructions. This model is based on the Llama3 architecture and is fine-tuned using approximately 3.76 million Thai instruction-completion pairs, supporting English and Thai processing.

Natural Language ProcessingTransformersMultiple Languages