Instructions to use Morpheus-Function-Calling/Morph-Caller-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Morpheus-Function-Calling/Morph-Caller-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Morpheus-Function-Calling/Morph-Caller-GGUF",
	filename="Morph-Caller-8B-F16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Morpheus-Function-Calling/Morph-Caller-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use Morpheus-Function-Calling/Morph-Caller-GGUF with Ollama:
```
ollama run hf.co/Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M
```

Unsloth Studio new

How to use Morpheus-Function-Calling/Morph-Caller-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Morpheus-Function-Calling/Morph-Caller-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Morpheus-Function-Calling/Morph-Caller-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Morpheus-Function-Calling/Morph-Caller-GGUF to start chatting

Docker Model Runner
How to use Morpheus-Function-Calling/Morph-Caller-GGUF with Docker Model Runner:
```
docker model run hf.co/Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M
```

Lemonade

How to use Morpheus-Function-Calling/Morph-Caller-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Morpheus-Function-Calling/Morph-Caller-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Morph-Caller-GGUF-Q4_K_M

List all available models

lemonade list

Morph-Caller Model Card

Variety of quantized GGUFs of the Morph-Caller Model

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.

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 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.

Downloads last month: 19

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

4-bit

8-bit

16-bit

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