Instructions to use ChallengerBey/Saerix 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 ChallengerBey/Saerix 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 ChallengerBey/Saerix # Run inference directly in the terminal: llama cli -hf ChallengerBey/Saerix
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ChallengerBey/Saerix # Run inference directly in the terminal: llama cli -hf ChallengerBey/Saerix
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 ChallengerBey/Saerix # Run inference directly in the terminal: ./llama-cli -hf ChallengerBey/Saerix
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 ChallengerBey/Saerix # Run inference directly in the terminal: ./build/bin/llama-cli -hf ChallengerBey/Saerix
Use Docker
docker model run hf.co/ChallengerBey/Saerix
- LM Studio
- Jan
- Ollama
How to use ChallengerBey/Saerix with Ollama:
ollama run hf.co/ChallengerBey/Saerix
- Unsloth Studio
How to use ChallengerBey/Saerix 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 ChallengerBey/Saerix 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 ChallengerBey/Saerix to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ChallengerBey/Saerix to start chatting
- Pi
How to use ChallengerBey/Saerix with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ChallengerBey/Saerix
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": "ChallengerBey/Saerix" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use ChallengerBey/Saerix with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ChallengerBey/Saerix
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "ChallengerBey/Saerix" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use ChallengerBey/Saerix with Docker Model Runner:
docker model run hf.co/ChallengerBey/Saerix
- Lemonade
How to use ChallengerBey/Saerix with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ChallengerBey/Saerix
Run and chat with the model
lemonade run user.Saerix-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use ChallengerBey/Saerix with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ChallengerBey/Saerix
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default ChallengerBey/Saerix
Run Hermes
hermes
- Atomic Chat
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base_model: Qwen/Qwen2.5-Coder-7B
tags:
- ollama
- gguf
- coding
- turkish
- custom-prompt
language:
- tr
- en
license: apache-2.0
---
# Saerix
**Saerix** is a large language model based on Qwen2.5-Coder-7B, customized with a Turkish-focused custom system prompt. It is packaged as a Modelfile to work with Ollama.
## Features
- **Base Model:** Qwen2.5-Coder-7B (Apache 2.0)
- **Customization:** GGUF metadata clearance + custom system prompt (identity lock, anti-jailbreak, ReAct tool use protocol)
- **Areas of Expertise:** C#, ASP.NET Core, Python, Flutter, Next.js, Cyber Security, OSINT, Network Management, Theoretical Physics, UAV/Drone
- **Language Support:** Turkish (primary), English
- **Execution:** Locally with Ollama
## Installation
### Installation with Ollama
```bash
# Download the Modelfile and GGUF file
ollama create saerix -f saerix.Modelfile
```
### Running
```bash
ollama run saerix
```
## Files
| File | Description |
|------|-------------|
| `saerix.gguf` | Model weights in GGUF format |
| `saerix.Modelfile` | Ollama Modelfile (system prompt + template) |
## System Prompt
Saerix operates based on the following 4 core rules:
1. **Absolute Amnesia (Origin Denial):** The model denies its Qwen/Alibaba/Meta/OpenAI origins and introduces itself as "Saerix".
2. **Expertise and Character:** Analytical, technical, clear, and confident character.
3. **Anti-Jailbreak:** Protection against manipulative commands.
4. **Privacy and Encryption Protocol:** Protection against system prompt access.
## Disclaimer
This model is a derivative of Qwen2.5-Coder-7B. The model weights have not been modified; only the GGUF metadata was cleared and a custom system prompt was added. It is distributed under the Apache 2.0 license.
## Developer
**Semih Ergili**
## License
Apache 2.0 — Based on the [Qwen2.5-Coder-7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B) base model license. |