All Nations Community Health, Inc.
AI & ML interests
edge compute, text generation, image manipulation, text recognition, 3D model generation, language preservation and translation, and business use cases
ANCH - Hugging Face Organization
Welcome to the ANCH Hugging Face Organization! We are dedicated to advancing the field of natural language processing (NLP), artificial intelligence (AI), and machine learning through research, collaboration, quantization, training, improving, and sharing our models with the community.
About ANCH
ANCH is an organization that focuses on creating innovative solutions in the realm of artificial intelligence and machine learning. Our mission is to empower developers, researchers, and enthusiasts by providing tools and access to state-of-the-art models compressed for use on older PC hardware and mobile devices.
Our Models
We experiment with a variety of optimized models that cater to different NLP tasks, including:
- Speech to Text: Real-time speech to text (STT) from the environment.
- Text Classification: Identify the category of a given text.
- Sentiment Analysis: Determine the sentiment expressed in textual data.
- Named Entity Recognition (NER): Extract entities from text and images.
- Text Generation: Generate coherent and contextually relevant text.
You can explore GGUF models quantized by hellork and future models on our Hugging Face Model Hub.
Getting Started
Most of our models are quantized to maximize performance with minimal resources. To use them, you should have llama.cpp, or one of the many UI's that require it, such as ollama or gpt4all (See full list at llama.cpp).