Instructions to use PinkPixel/ASCII-Machine-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PinkPixel/ASCII-Machine-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="PinkPixel/ASCII-Machine-GGUF",
	filename="ascii-2B.BF16-mmproj.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 PinkPixel/ASCII-Machine-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf PinkPixel/ASCII-Machine-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf PinkPixel/ASCII-Machine-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 PinkPixel/ASCII-Machine-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf PinkPixel/ASCII-Machine-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 PinkPixel/ASCII-Machine-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf PinkPixel/ASCII-Machine-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 PinkPixel/ASCII-Machine-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf PinkPixel/ASCII-Machine-GGUF:Q4_K_M

Use Docker

docker model run hf.co/PinkPixel/ASCII-Machine-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use PinkPixel/ASCII-Machine-GGUF with Ollama:
```
ollama run hf.co/PinkPixel/ASCII-Machine-GGUF:Q4_K_M
```

Unsloth Studio new

How to use PinkPixel/ASCII-Machine-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 PinkPixel/ASCII-Machine-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 PinkPixel/ASCII-Machine-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for PinkPixel/ASCII-Machine-GGUF to start chatting

Pi new

How to use PinkPixel/ASCII-Machine-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf PinkPixel/ASCII-Machine-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "ASCII-Machine-GGUF"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use PinkPixel/ASCII-Machine-GGUF with Docker Model Runner:
```
docker model run hf.co/PinkPixel/ASCII-Machine-GGUF:Q4_K_M
```

Lemonade

How to use PinkPixel/ASCII-Machine-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull PinkPixel/ASCII-Machine-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.ASCII-Machine-GGUF-Q4_K_M

List all available models

lemonade list

ASCII-Machine-GGUF / README.md

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	---
	license: apache-2.0
	base_model: PinkPixel/ASCII-Machine
	tags:
	- ascii
	- vision
	- art
	- unsloth
	- gguf
	- quantized
	---

	<div align="center">
	<img src="logo.png" alt="ASCII Machine Logo" width="300" height="300">
	<h1>✨ ASCII Machine GGUF ✨</h1>
	<p><i>Quantized versions of <a href="https://huggingface.co/PinkPixel/ASCII-Machine">PinkPixel/ASCII-Machine</a></i></p>
	</div>

	---

	## 📦 Model Overview

	This repository contains GGUF (llama.cpp) compatible versions of ASCII Machine, a specialized model for ASCII art generation based on Qwen3.5-2B.

	- Main Model: [PinkPixel/ASCII-Machine](https://huggingface.co/PinkPixel/ASCII-Machine)
	- Architecture: Qwen3.5-2B
	- Trained in: Unsloth Studio
	- Dataset: [PinkPixel/ASCII-Art](https://huggingface.co/datasets/PinkPixel/ASCII-Art)

	## ⚠️ Important Note: Vision Support

	ASCII Machine features advanced vision-language capabilities. However, due to the very new architecture of Qwen3.5-2B, vision support (mmproj) may not yet be fully functional in current versions of `llama.cpp`, `LM Studio`, or `Ollama`.

	We have included the `mmproj.gguf` files for experimentation, but expect updates as the ecosystem matures.

	## 💾 Available Quantizations

	\| File Name \| Description \|
	\|-----------\|-------------\|
	\| `ascii-machine.BF16.gguf` \| Original Brain Float 16 precision \|
	\| `ascii-machine.F16.gguf` \| Half-precision Float 16 \|
	\| `ascii-machine.Q8_0.gguf` \| 8-bit quantization (High quality, large) \|
	\| `ascii-machine.Q6_K.gguf` \| 6-bit quantization (Excellent balance) \|
	\| `ascii-machine.Q5_K_M.gguf` \| 5-bit quantization (Recommended) \|
	\| `ascii-machine.Q4_K_M.gguf` \| 4-bit quantization (Standard) \|
	\| `ascii-machine.Q3_K_M.gguf` \| 3-bit quantization (Small) \|
	\| `ascii-machine.Q2_K_L.gguf` \| 2-bit quantization (Extreme compression) \|
	\| `ascii-machine.BF16-mmproj.gguf` \| Vision adapter (Experimental) \|

	## 💬 Example Usage

	### User:
	> Generate an ASCII rocket.

	### ASCII Machine:
	```text
	/\
	\| \|
	\| \|
	/____\
	[____]
	\| \|
	\| \|
	/_\|\|_\
	```

	---
	<div align="center">
	Made with ❤️ by <a href="https://pinkpixel.dev">Pink Pixel</a>
	<br>
	<i>"Dream it, Pixel it"</i>
	</div>