Instructions to use AGofficial/Zure-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use AGofficial/Zure-1b with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -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 serve -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 Desktop
- 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
- Atomic Chat
File size: 1,336 Bytes
d7ee4e9 f472c95 d7ee4e9 f472c95 d7ee4e9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | # 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.
---
## Contents
| 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
```bash
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](https://lmstudio.ai/)** — Drop the `.gguf` file in and chat via GUI.
- **[Ollama](https://ollama.com/)** — Import the GGUF and run via CLI.
- **[Jan](https://jan.ai/)** — Desktop app for local LLMs.
- **[llama.cpp](https://github.com/ggerganov/llama.cpp)** — Low-level CLI inference.
|