How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dispatchAI/Gemma-2B-Arabic-mobile"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dispatchAI/Gemma-2B-Arabic-mobile",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'
Use Docker
docker model run hf.co/dispatchAI/Gemma-2B-Arabic-mobile
Quick Links

Gemma 2 2B Arabic - Mobile Optimized (GGUF)

Google's Gemma 2 2B, optimized for Arabic NLP alongside strong English capability. The best compact option for Arabic-language AI on mobile.

Property Value
Parameters 2.6 billion
Size ~1.4 GB
Languages English + Arabic (primary focus)
Speed ~19 tok/s (S20 FE CPU)

Use Cases

  • Arabic text generation and conversation
  • Arabic content moderation
  • English-Arabic translation assistance
  • Middle Eastern market applications
  • Multilingual customer service bots
Downloads last month
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GGUF
Model size
3B params
Architecture
gemma
Hardware compatibility
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