EchoVLM is a dynamic mixture of experts vision-language model designed specifically for the medical ultrasound field. It can process image and text inputs and generate text outputs, and has important application value in ultrasound intelligent diagnosis.

MultimodalTransformersMultiple Languages

MEDFIT-LLM-3B is a language model specifically optimized for medical Q&A, fine-tuned based on Meta's Llama-3.2-3B-Instruct. This model is trained on medical datasets using LoRA technology, significantly improving its understanding and direct answering abilities in the medical field. It is suitable for applications such as medical chatbots and patient education.

Natural Language ProcessingTransformersEnglish

Neeto-1.0-8b-GGUF is a quantized version based on S4nfs/Neeto-1.0-8b, designed specifically for medical exam preparation and medical applications. This model is created using llama.cpp and has been rigorously trained on medical datasets, focusing on medical-related tasks such as medical exam preparation, case analysis, and medical reasoning.

Natural Language ProcessingTransformersEnglish

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

This is a Transformer model specifically designed for disease entity recognition. It is based on the xlm-roberta-base architecture and fine-tuned on the NCBI disease dataset. The model can accurately identify disease entities in biomedical texts and supports the recognition of two entity types, B-Disease and I-Disease, providing high-precision entity extraction capabilities for enterprise-level medical applications.

Natural Language ProcessingTransformersEnglish

Apollo2-7B-GGUF is a quantized version of FreedomIntelligence/Apollo2-7B, supporting medical large language model applications in multiple languages.

Natural Language ProcessingGgufMultiple Languages

MedGemma-4B-IT is a medical multimodal model based on Gemma 3, supporting the understanding of medical text and images, and suitable for the development of medical AI applications.

MultimodalTransformers

MedGemma-4B-IT is a specialized multimodal model in the medical field developed by Google, supporting the task of converting image text to text. This model is optimized for medical imaging and text analysis and has important application value in multiple medical sub - fields such as radiology, clinical reasoning, and dermatology.

MultimodalTransformers

Medra4b is a multilingual (English and Romanian) text generation model fine-tuned on medical datasets, specializing in medical domain applications.

Natural Language ProcessingTransformersMultiple Languages

MedGemma is a medical multimodal model developed based on Gemma 3, focusing on medical text and image understanding and supporting the construction of healthcare AI applications.

MultimodalTransformers

MedGemma is a series of AI models developed by Google, specifically optimized for medical scenarios. It includes two versions: a 4B multimodal version and a 27B pure-text version. Based on the Gemma 3 architecture, it performs excellently in medical text and image understanding tasks and can effectively support the development of medical AI applications.

MultimodalTransformers

MedGemma is a Gemma 3 variant optimized for medical text and image understanding by Google, available in 4B and 27B versions, specifically designed for medical AI applications.

Natural Language ProcessingTransformers

This is a binary classification image model based on the google/siglip2-base-patch16-224 architecture, specifically designed to detect fractures in skeletal X-ray images. This model has important application value in medical diagnosis, clinical triage, and radiology assistance systems.

Computer VisionTransformersEnglish

Medra is a medical domain-specific QA and summarization model supporting English and Romanian, designed for medical AI applications.

Natural Language ProcessingGgufMultiple Languages

Persian automatic speech recognition model optimized based on OpenAI Whisper-large-v3-turbo, supporting medical field applications

Audio ProcessingTransformersOther

A binary segmentation model for RGB three-channel leaf vegetation, suitable for shrub or tree scenes, with potential medical applications, supporting multi-scenario applications such as wildfire fuel assessment

Computer VisionTensorflowMultiple Languages

Meditron is a set of large language models specifically designed for clinical medicine, developed by the OpenMeditron Initiative. It is trained based on the Llama-3.1-70B base model and focuses on medical applications in resource-limited and humanitarian environments.

Natural Language ProcessingTransformersEnglish

KoSaul-8B is a Korean large language model trained through continuous learning based on the Open-ko-llama3-8B model, specializing in professional applications in the legal and medical fields.

Natural Language ProcessingTransformersKorean

An open-source large language model specialized in the biomedical field, enhancing medical exam assistance, literature comprehension, and clinical knowledge application

Natural Language ProcessingTransformers