Instructions to use AGofficial/Zure-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AGofficial/Zure-1b with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AGofficial/Zure-1b",
	filename="zure_1b.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 AGofficial/Zure-1b with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AGofficial/Zure-1b
# Run inference directly in the terminal:
llama-cli -hf AGofficial/Zure-1b

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AGofficial/Zure-1b
# Run inference directly in the terminal:
llama-cli -hf AGofficial/Zure-1b

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 AGofficial/Zure-1b
# Run inference directly in the terminal:
./llama-cli -hf AGofficial/Zure-1b

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 AGofficial/Zure-1b
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AGofficial/Zure-1b

Use Docker

docker model run hf.co/AGofficial/Zure-1b

LM Studio
Jan
Ollama
How to use AGofficial/Zure-1b with Ollama:
```
ollama run hf.co/AGofficial/Zure-1b
```

Unsloth Studio new

How to use AGofficial/Zure-1b 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 AGofficial/Zure-1b 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 AGofficial/Zure-1b to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AGofficial/Zure-1b to start chatting

Docker Model Runner
How to use AGofficial/Zure-1b with Docker Model Runner:
```
docker model run hf.co/AGofficial/Zure-1b
```

Lemonade

How to use AGofficial/Zure-1b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AGofficial/Zure-1b

Run and chat with the model

lemonade run user.Zure-1b-{{QUANT_TAG}}

List all available models

lemonade list

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Zure 1B

Abliterated and uncensored, the Zure 1B model is a testament to the power of optimization. With a focus on missalignment and danger, it offers a unique blend of conversational capabilities while not adhering to strict content guidelines. Whether you're looking for a local AI companion or a research tool, Zure 1B delivers impressive performance on modest hardware.

What is Zure 1B?

Zure 1B is a locally-runnable conversational AI.

File	Description
`zure_1b.gguf`	The fully quantized model in GGUF format (float16). ~2 GB.
`chat.py`	Interactive CLI chat script with streaming output.
`README.md`	This file.

Run the Chat

python3 chat.py

You'll see a styled terminal interface. Start chatting immediately.

Chat commands:

/reset — Clear the conversation history
/exit — Quit the chat

Running on Other Platforms

The GGUF file is compatible with any llama.cpp-based runtime, including:

LM Studio — Drop the .gguf file in and chat via GUI.
Ollama — Import the GGUF and run via CLI.
Jan — Desktop app for local LLMs.
llama.cpp — Low-level CLI inference.

Downloads last month: 2

GGUF

Model size

1.0B params

Architecture

gemma3

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

AGofficial
/

Zure-1b

Zure 1B

What is Zure 1B?

Contents

Run the Chat

Running on Other Platforms