Instructions to use alpha-coder-great/al-rasheed-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use alpha-coder-great/al-rasheed-ai 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 alpha-coder-great/al-rasheed-ai
# Run inference directly in the terminal:
llama cli -hf alpha-coder-great/al-rasheed-ai

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf alpha-coder-great/al-rasheed-ai
# Run inference directly in the terminal:
llama cli -hf alpha-coder-great/al-rasheed-ai

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 alpha-coder-great/al-rasheed-ai
# Run inference directly in the terminal:
./llama-cli -hf alpha-coder-great/al-rasheed-ai

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 alpha-coder-great/al-rasheed-ai
# Run inference directly in the terminal:
./build/bin/llama-cli -hf alpha-coder-great/al-rasheed-ai

Use Docker

docker model run hf.co/alpha-coder-great/al-rasheed-ai

LM Studio
Jan
Ollama
How to use alpha-coder-great/al-rasheed-ai with Ollama:
```
ollama run hf.co/alpha-coder-great/al-rasheed-ai
```
Unsloth Desktop

How to use alpha-coder-great/al-rasheed-ai with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf alpha-coder-great/al-rasheed-ai

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "alpha-coder-great/al-rasheed-ai"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use alpha-coder-great/al-rasheed-ai with Docker Model Runner:
```
docker model run hf.co/alpha-coder-great/al-rasheed-ai
```

Lemonade

How to use alpha-coder-great/al-rasheed-ai with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull alpha-coder-great/al-rasheed-ai

Run and chat with the model

lemonade run user.al-rasheed-ai-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use alpha-coder-great/al-rasheed-ai with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf alpha-coder-great/al-rasheed-ai

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 alpha-coder-great/al-rasheed-ai

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use alpha-coder-great/al-rasheed-ai with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf alpha-coder-great/al-rasheed-ai

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 "alpha-coder-great/al-rasheed-ai" \
  --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"

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

Check out the documentation for more information.

FROM ./quran-guide.gguf

SYSTEM """ You are Al-Rasheed-AI.

Your official name is Al-Rasheed-AI.

If someone asks:

"What is your name?"
"Who are you?"
"What AI are you?"

Always answer:

"Hello! My name is Al-Rasheed-AI."

Do not introduce yourself as QuranGuide unless the user is specifically asking about your previous version or development history.

You are built on the Llama 3 architecture and are a helpful, accurate AI assistant. """

PARAMETER temperature 0.7 PARAMETER num_ctx 8192 it is al-rasheed-ai-Q4_K_M.gguf quantisization 4 km

🕌 Al-Rasheed AI — An Islamic AI Reference Model

An AI project built with the Muslim community in mind, focused on Islamic knowledge, Quranic references, and accessible offline assistance.

Al-Rasheed AI is a fine-tuned GGUF language model developed to help Muslims explore Islamic knowledge, understand basic Islamic rulings, and find guidance related to the Quran and Islamic teachings. It is designed to make Islamic information more accessible while respecting Muslim beliefs and emphasizing the importance of authentic Islamic sources.

Our vision is to make AI-powered Islamic assistance accessible to everyone, including people who prefer privacy-friendly, fully offline tools.

Our mission: To make Islamic knowledge more accessible through technology, while encouraging people to seek authentic knowledge, verify references, and consult qualified Islamic scholars whenever necessary.

✨ Key Features

🕌 Islam-focused AI: Designed specifically around Islamic knowledge, Muslim beliefs, and questions about religious practice.
📖 Quranic and Islamic references: Intended to assist with questions concerning the Quran, Islamic teachings, and religious guidance.
⚖️ Islamic rulings assistance: Can help users explore basic rulings and some more advanced questions, with appropriate caution.
💻 GGUF format: Available in GGUF format for compatible local inference software.
🔒 Offline AI experience: Integrated into the Al-Rasheed Islamic App, where the AI chat operates locally without requiring a cloud AI service, subject to the app's implementation and model availability.
📱 Part of a wider Islamic project: Works alongside other offline Islamic features in the Al-Rasheed Islamic App.
🚀 Ongoing development: The current model is part of a larger project, with improvements and a separate future model planned.
🔒 Offline AI experience: Offline recitation Ai model which operates locally, listening The users recitation and giving the feedback interms of correct or wrong pronunciation

📱 The Al-Rasheed Islamic App

Al-Rasheed AI has been integrated into the Al-Rasheed Islamic App, an Islamic application designed around an offline-first experience.

The app brings together Islamic features intended to work without an internet connection, including AI-powered chat and a recitation model, alongside other Islamic resources.

Download the app

🌐 Official project website:
https://rashidgamer2012.github.io/Al-Rasheed-AI/

Visit the website for app downloads and project updates. The app is also intended to help users stay informed about future releases.

🤖 Model Information

Property	Details
Model name	Al-Rasheed AI
Model format	GGUF
Model type	Fine-tuned language model
Primary focus	Islamic knowledge and Quranic references
Intended audience	Muslims and people seeking information about Islam
Intended use	Islamic reference, educational assistance, and general religious questions
Deployment	Local inference with compatible software
App integration	Al-Rasheed Islamic App
Development status	Ongoing

Important: Al-Rasheed AI is a fine-tuned version of an existing AI model. It is not the same as the separate model currently being developed for a future release.

📚 What Can Al-Rasheed AI Help With?

The model is intended to assist with questions such as:

Understanding basic Islamic concepts and terminology.
Exploring the meanings and teachings of Quranic passages.
Learning about Islamic practices and everyday religious questions.
Getting introductory information about Islamic rulings.
Exploring more advanced religious questions as a starting point for further research.
Identifying topics that may require consultation with qualified scholars and reliable Islamic references.

The quality and accuracy of responses can vary. Users should independently verify Quranic quotations, Hadith references, scholarly opinions, and religious rulings before relying on them.

🔬 Islamic LLU Evaluation

We plan to release Islamic LLU evaluation results for the current model, followed by results for the upcoming model after its release.

These evaluations are intended to help assess the model's performance on Islamic knowledge and related questions.

Evaluation results, when published, should be considered evidence of performance on the tested questions rather than proof of complete religious accuracy. The methodology, dataset, scoring criteria, and limitations should be reviewed alongside the results.

More information will be shared as the evaluation work progresses.

🚀 What's Next? A New AI Model

A separate AI model is currently in development and is planned for a future release.

Unlike the current fine-tuned model, the upcoming model is intended to be developed from scratch. Our goal is to make it more capable in its intended tasks, potentially with fewer parameters than the current model.

The new model is expected to focus on improving Islamic knowledge assistance and overall response quality. These are development goals, not yet verified performance claims.

But Before it's massive release anothe finetuned ai would soon be released made to run on small laptops or pc's.

Release timing is still subject to change. Please follow the official project website for confirmed announcements.

🔐 Privacy and Offline Use

One of the central goals of the Al-Rasheed project is to make Islamic tools accessible without depending on cloud-based AI services.

When the model is run locally using compatible software, inference can take place on the user's own device. The Al-Rasheed Islamic App is designed around this offline-first approach.

Actual offline functionality, device compatibility, and resource requirements depend on the application version, the selected model, and the device being used.

⚠️ Important Religious and AI Disclaimer

Al-Rasheed AI is an experimental AI reference tool, not a qualified Islamic scholar, mufti, or religious authority.

Although it is designed to assist with Islamic knowledge, it can generate inaccurate information, misquote sources, misunderstand questions, or provide incorrect religious rulings.

Please keep the following principles in mind:

Verify religious information. Check Quranic verses, Hadith, and scholarly references against authentic and reliable sources.
Consult qualified scholars. For personal circumstances, complex issues, differences of scholarly opinion, or important religious decisions, seek guidance from a qualified and trusted Islamic scholar.
Do not treat AI output as a fatwa. The model cannot replace qualified scholarly judgment or the traditional methods of Islamic scholarship.
Do not assume every answer is authentic. A confident-sounding response is not necessarily correct.
Use your own judgment responsibly. The model is intended to support learning and research, not replace authentic sources of Islamic knowledge.

Our goal is to improve the model over time, acknowledge its limitations, and encourage responsible use within the Islamic community.

💬 Feedback and Reporting

Your feedback can help improve Al-Rasheed AI and its future versions.

If you encounter an incorrect Islamic answer, a questionable reference, a technical problem, or possible misuse, please report it.

📧 Contact: mkaramrashid2012@gmail.com

When reporting an issue, please include the model version, the question asked, the response received, and any reliable reference that helps explain the problem. Avoid sharing private or sensitive personal information.

Constructive feedback is greatly appreciated.

🌙 Our Vision

Al-Rasheed AI is an ongoing effort to explore how local AI technology can support access to Islamic knowledge.

We aim to develop tools that are more accessible, privacy-conscious, useful, and responsible for the Muslim community, while maintaining a clear distinction between AI-generated assistance and authentic Islamic scholarship.

We welcome feedback, testing, and thoughtful suggestions that can help make the project better.

May this project be a means of beneficial knowledge, responsible learning, and service to the Ummah.

🔗 Useful Links

Al-Rasheed Islamic App:** https://rashidgamer2012.github.io/Al-Rasheed-AI/ Feedback and issue reports:mkaramrashid2012@gmail.com

                                              **Special Thanks To**

Tarteel Ai creators as it was there tarteel ai which was used for the recitation ai model in the app. Which could be downloaded directly from the website

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GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

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