README.md

---
base_model: Morpheus-Function-Calling/Morph-Caller
inference: true
language:
- en
license: mit
model_creator: Morpheus-Function-Calling
model_name: Morph-Caller
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- morph-caller
- function-calling
- gguf
- ggml
- quantized
---

# Morph-Caller-GGUF

Quantized GGUF model files for [Morph-Caller](https://huggingface.co/Morpheus-Function-Calling/Morph-Caller) from [Morpheus-Function-Calling](https://huggingface.co/Morpheus-Function-Calling)

## Original Model Card:

# Morph-Caller Model Card

## Model Description

Morph-Caller is a state-of-the-art language model designed to perform function calling using a structured schema. 
It leverages a sophisticated system to parse and execute function calls, providing users with the ability to interact with the model in a more dynamic and utilitarian manner.
The model differentiates itself by both excelling at function calling and also being unrestrained from model censorship.

## Capabilities

Morph-Caller excels in understanding and generating structured outputs based on function calling schemas. It can interpret user queries that involve function calls and respond with accurate and relevant information. The model adheres to a predefined JSON schema for function calls, which is detailed in the [Hermes-Function-Calling GitHub repository](https://github.com/NousResearch/Hermes-Function-Calling).

## Usage

To interact with Morph-Caller, users should format their prompts according to the function calling schema provided in the repository. The model can process these prompts and return structured data, making it an invaluable tool for developers and researchers who require programmatic access to language model capabilities.

## Installation and Usage

Please refer to the [Hermes-Function-Calling GitHub repository](https://github.com/NousResearch/Hermes-Function-Calling) for detailed instructions on installation and usage.

## Contributions

Morph-Caller is built on the principles of open collaboration. We encourage contributions that improve the model's performance and extend its capabilities. If you are interested in contributing, please follow the contribution guidelines in the repository.

## License

This model is available under the MIT license, which allows for a wide range of uses with few restrictions.