---
title: README
emoji: 📉
colorFrom: gray
colorTo: gray
sdk: static
pinned: false
---

# 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](https://huggingface.co/hellork) and future models on our [Hugging Face Model Hub](https://huggingface.co/models?search=ANCH).

## Getting Started

Most of our models are quantized to maximize performance with minimal resources. To use them, you should have [llama.cpp](https://github.com/ggerganov/llama.cpp), or one of the many UI's that require it, such as [ollama](https://github.com/ollama/ollama) or [gpt4all](https://github.com/nomic-ai/gpt4all) (See full list at llama.cpp).