Instructions to use Sweaterdog/Andy-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sweaterdog/Andy-4 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Sweaterdog/Andy-4",
	filename="Andy-4.Q2_K.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 Sweaterdog/Andy-4 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Sweaterdog/Andy-4:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Sweaterdog/Andy-4:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Sweaterdog/Andy-4:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Sweaterdog/Andy-4: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 Sweaterdog/Andy-4:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Sweaterdog/Andy-4: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 Sweaterdog/Andy-4:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Sweaterdog/Andy-4:Q4_K_M

Use Docker

docker model run hf.co/Sweaterdog/Andy-4:Q4_K_M

LM Studio
Jan
Ollama
How to use Sweaterdog/Andy-4 with Ollama:
```
ollama run hf.co/Sweaterdog/Andy-4:Q4_K_M
```

Unsloth Studio new

How to use Sweaterdog/Andy-4 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 Sweaterdog/Andy-4 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 Sweaterdog/Andy-4 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Sweaterdog/Andy-4 to start chatting

Docker Model Runner
How to use Sweaterdog/Andy-4 with Docker Model Runner:
```
docker model run hf.co/Sweaterdog/Andy-4:Q4_K_M
```

Lemonade

How to use Sweaterdog/Andy-4 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Sweaterdog/Andy-4:Q4_K_M

Run and chat with the model

lemonade run user.Andy-4-Q4_K_M

List all available models

lemonade list

HOW TO MAKE AN ISSUE ON THIS REPO

pinned

by Sweaterdog - opened May 21, 2025

Discussion

Sweaterdog

Owner May 21, 2025

THIS IS VERY IMPORTANT!!!

If you have an issue, in the title, include the specific model with quantization, and in the discussion, include the profile you're using.
Also, include if you have tried any other models, like Andy-4 or updated models like Andy-4.1 (Future model) and have had the same issue.

That is it, here is an example post to help you:

title:
[ANDY-4-LARGE AT Q2_K] [UNABLE TO FIND STONE]

content:
Hi, so my Andy-4 model, Andy-4-large, has been unable to find stone and is instead looking for cobblestone, and getting stuck since there isn't any nearby.
I have tried this and Andy-4-micro at F16 on my laptop and have gotten it to work, but Andy-4-large won't.

If you want to help people, the easiest way to solve an issue with a model, is to increase the quantization, or change to a different model.

Sweaterdog pinned discussion May 21, 2025

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