Instructions to use Sam2x/Mistral_OpenArabic_v0.2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sam2x/Mistral_OpenArabic_v0.2-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Sam2x/Mistral_OpenArabic_v0.2-GGUF",
	filename="mistral_openarabic_v0.2.Q4_0.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 Sam2x/Mistral_OpenArabic_v0.2-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M

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 Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M

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 Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use Sam2x/Mistral_OpenArabic_v0.2-GGUF with Ollama:
```
ollama run hf.co/Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M
```

Unsloth Studio new

How to use Sam2x/Mistral_OpenArabic_v0.2-GGUF 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 Sam2x/Mistral_OpenArabic_v0.2-GGUF 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 Sam2x/Mistral_OpenArabic_v0.2-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Sam2x/Mistral_OpenArabic_v0.2-GGUF to start chatting

Docker Model Runner
How to use Sam2x/Mistral_OpenArabic_v0.2-GGUF with Docker Model Runner:
```
docker model run hf.co/Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M
```

Lemonade

How to use Sam2x/Mistral_OpenArabic_v0.2-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Sam2x/Mistral_OpenArabic_v0.2-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Mistral_OpenArabic_v0.2-GGUF-Q4_K_M

List all available models

lemonade list

Mistral_OpenArabic_v0.2

OpenArabic is a Mistral model v0.1 trained on various arabic datasets.

Dear Supporters,

If you've been amazed by the capabilities of our LLM model so far, we have an exciting opportunity for you to be a part of its evolution! To push the boundaries even further and unlock its full potential, we need your help.

Creating the best version of our LLM model requires substantial GPU power, and unfortunately, our current resources are limited. That's where you come in. Your contributions can make a significant difference in accelerating the development process and bringing about groundbreaking advancements.

Imagine the possibilities: more accurate predictions, enhanced natural language understanding, and innovative applications across various domains. Your donation will directly fuel these advancements, shaping the future of AI and its impact on society.

If you believe in the power of technology to transform our world and want to see our LLM model reach new heights, please consider making a donation today. Together, we can drive innovation, inspire progress, and pave the way for a brighter future.

Thank you for your support and commitment to advancing AI research and development.

The link for the donation : https://www.buymeacoffee.com/sam2x

or crypto (my gpu cloud provider accept it :) )

Bitcoin (BTC) : bc1qs6dg76pzcftawq5qdzek8ul6zela49tkqz0sll

Tether (USDT) TRC20 : TDx2Yyw66krRJVBRYijCDsJ57o2neZugyD

Sincerely, Sam

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GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

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