Search FoxAI

AI Models 84757

• gpt-audio-mini-2025-10-06↗

  OpenAI

• Vlaser-2B-VLA↗

  OpenGVLab

• OpenMed-ZeroShot-NER-BloodCancer-Large-459M↗

  OpenMed

  **Specialized model for Clinical Entity Recognition - Clinical entities related to Chronic Lymphocytic Leukemia** Domain-tuned for **Chronic Lymphocytic Leukemia (CLL)** terminology, capturing disease descriptors, biomarkers, and therapies.Supports **hematology research**, **treatment response analysis**, and **clinical evidence tracking**. OpenMed ZeroShot NER is an advanced, domain-adapted Named Entity Recognition (NER) model designed specifically for medical, biomedical, and clinical text mining. Leveraging state-of-the-art zero-shot learning, this model empowers researchers, clinicians, and data scientists to extract expert-level biomedical entities—such as diseases, chemicals, genes, species, and clinical findings—directly from unstructured text, without the need for task-specific retraining.

• Qwen3-VL-8B-Abliterated-Caption-it-GGUF↗

  prithivMLmods

  > The Qwen3-VL-8B-Abliterated-Caption-it model is a fine-tuned version of Qwen3-VL-8B-Instruct, tailored for Abliterated Captioning / Uncensored Image Captioning. This variant is designed to generate highly detailed and descriptive captions across a broad range of visual categories, including images with complex, sensitive, or nuanced content—across varying aspect ratios and resolutions. (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

• Zenith-9B-CodeCore-Merge-GGUF↗

  prithivMLmods

• SmolMaestra-1.7b-Translation↗

  puettmann

• Bio-Medical-Llama-3-8B-GGUF↗

  QuantFactory

• EZO-gemma-2-2b-jpn-it-GGUF↗

  QuantFactory

• starcoder2-15b-instruct-v0.1-GGUF↗

  QuantFactory

• civitai-archive↗

  Quiho