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 it is a gguf model for islamic and quranic reference to lead the ummah and to guide the people towards allah especcially made for muslims and their beliefs kept in mind

Downloads last month: 29

GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

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