Instructions to use netcat420/MFANNv0.5-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use netcat420/MFANNv0.5-GGUF with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("netcat420/MFANNv0.5-GGUF", set_active=True) - llama-cpp-python
How to use netcat420/MFANNv0.5-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="netcat420/MFANNv0.5-GGUF", filename="MFANNv0.5.gguf", )
llm.create_chat_completion( messages = "\"I like you. I love you\"" )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use netcat420/MFANNv0.5-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf netcat420/MFANNv0.5-GGUF # Run inference directly in the terminal: llama-cli -hf netcat420/MFANNv0.5-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf netcat420/MFANNv0.5-GGUF # Run inference directly in the terminal: llama-cli -hf netcat420/MFANNv0.5-GGUF
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 netcat420/MFANNv0.5-GGUF # Run inference directly in the terminal: ./llama-cli -hf netcat420/MFANNv0.5-GGUF
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 netcat420/MFANNv0.5-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf netcat420/MFANNv0.5-GGUF
Use Docker
docker model run hf.co/netcat420/MFANNv0.5-GGUF
- LM Studio
- Jan
- Ollama
How to use netcat420/MFANNv0.5-GGUF with Ollama:
ollama run hf.co/netcat420/MFANNv0.5-GGUF
- Unsloth Studio
How to use netcat420/MFANNv0.5-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 netcat420/MFANNv0.5-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 netcat420/MFANNv0.5-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for netcat420/MFANNv0.5-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use netcat420/MFANNv0.5-GGUF with Docker Model Runner:
docker model run hf.co/netcat420/MFANNv0.5-GGUF
- Lemonade
How to use netcat420/MFANNv0.5-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull netcat420/MFANNv0.5-GGUF
Run and chat with the model
lemonade run user.MFANNv0.5-GGUF-{{QUANT_TAG}}List all available models
lemonade list
What does the abbreviation MFANN stand for?
Neat model experiment! However, I only one question: what does MFANN stand for? π€
Thank you for trying out the model! The name "MFANN" stands for "makhi's fully autonomous neural network" as I plan to use this model experiment once I deem it fully saturated, to power some autonomous agents in the near future, and maybe even an MOE! although I am working with a cpu inference machine and the best GPU I have is an rx 6400 and I'm using colab to finetune these models, so unfortunately progress won't be as fast paced as some other organizations. I also work 2 jobs (little caesars and mcdonalds) so that further hampers progress
You'll get there! I admire your hardworking and determination. Reach for the stars and grab them! π€
Thank you very much for those kind words! may god bless us all on a path to a prosperous future!