Instructions to use RightNowAI/RightNow-Arabic-0.5B-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use RightNowAI/RightNow-Arabic-0.5B-Turbo with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="RightNowAI/RightNow-Arabic-0.5B-Turbo")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("RightNowAI/RightNow-Arabic-0.5B-Turbo", dtype="auto")

llama-cpp-python

How to use RightNowAI/RightNow-Arabic-0.5B-Turbo with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="RightNowAI/RightNow-Arabic-0.5B-Turbo",
	filename="gguf/RightNow-Arabic-0.5B-Turbo-f16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use RightNowAI/RightNow-Arabic-0.5B-Turbo 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 RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RightNowAI/RightNow-Arabic-0.5B-Turbo: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 RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf RightNowAI/RightNow-Arabic-0.5B-Turbo: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 RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M

Use Docker

docker model run hf.co/RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M

LM Studio
Jan

vLLM

How to use RightNowAI/RightNow-Arabic-0.5B-Turbo with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "RightNowAI/RightNow-Arabic-0.5B-Turbo"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RightNowAI/RightNow-Arabic-0.5B-Turbo",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M

SGLang

How to use RightNowAI/RightNow-Arabic-0.5B-Turbo with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "RightNowAI/RightNow-Arabic-0.5B-Turbo" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RightNowAI/RightNow-Arabic-0.5B-Turbo",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "RightNowAI/RightNow-Arabic-0.5B-Turbo" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RightNowAI/RightNow-Arabic-0.5B-Turbo",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use RightNowAI/RightNow-Arabic-0.5B-Turbo with Ollama:
```
ollama run hf.co/RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M
```

Unsloth Studio

How to use RightNowAI/RightNow-Arabic-0.5B-Turbo 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 RightNowAI/RightNow-Arabic-0.5B-Turbo 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 RightNowAI/RightNow-Arabic-0.5B-Turbo to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for RightNowAI/RightNow-Arabic-0.5B-Turbo to start chatting

How to use RightNowAI/RightNow-Arabic-0.5B-Turbo with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M

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": "RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use RightNowAI/RightNow-Arabic-0.5B-Turbo with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M

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 RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use RightNowAI/RightNow-Arabic-0.5B-Turbo with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M

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 "RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M" \
  --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 RightNowAI/RightNow-Arabic-0.5B-Turbo with Docker Model Runner:
```
docker model run hf.co/RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M
```

Lemonade

How to use RightNowAI/RightNow-Arabic-0.5B-Turbo with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull RightNowAI/RightNow-Arabic-0.5B-Turbo:Q4_K_M

Run and chat with the model

lemonade run user.RightNow-Arabic-0.5B-Turbo-Q4_K_M

List all available models

lemonade list

Link model to paper and add dataset metadata

by nielsr HF Staff - opened May 29

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+14

-4

Files changed (1) hide show

README.md +14 -4

README.md CHANGED Viewed

@@ -1,9 +1,10 @@
 ---
-license: apache-2.0
 language:
 - ar
 - en
-base_model: Qwen/Qwen2.5-0.5B
 pipeline_tag: text-generation
 tags:
 - arabic
@@ -13,7 +14,14 @@ tags:
 - dpo
 - gguf
 - qwen2
-library_name: transformers
 model-index:
 - name: RightNow-Arabic-0.5B-Turbo
   results:
@@ -59,6 +67,8 @@ model-index:
 *Built by [RightNow AI](https://rightnowai.co)*
 <img src="benchmark_pareto.png" width="700">
 </div>
@@ -232,4 +242,4 @@ Apache 2.0 (same as the base Qwen2.5-0.5B model).
 ---
-*Built by [RightNow AI](https://rightnowai.co)*

 ---
+base_model: Qwen/Qwen2.5-0.5B
 language:
 - ar
 - en
+library_name: transformers
+license: apache-2.0
 pipeline_tag: text-generation
 tags:
 - arabic
 - dpo
 - gguf
 - qwen2
+datasets:
+- wikimedia/wikipedia
+- FreedomIntelligence/evol-instruct-arabic
+- FreedomIntelligence/alpaca-gpt4-arabic
+- FreedomIntelligence/sharegpt-arabic
+- arbml/CIDAR
+- CohereForAI/aya_dataset
+- 2A2I/argilla-dpo-mix-7k-arabic
 model-index:
 - name: RightNow-Arabic-0.5B-Turbo
   results:
 *Built by [RightNow AI](https://rightnowai.co)*
+**[Paper: RightNow-Arabic-0.5B-Turbo: An Open Sub-1B Arabic Language Model via Vocabulary Injection and Edge-First Deployment](https://huggingface.co/papers/2605.28827)**
 <img src="benchmark_pareto.png" width="700">
 </div>
 ---
+*Built by [RightNow AI](https://rightnowai.co)*