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Upload README.md with huggingface_hub

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  ---
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  title: Mobile Agent
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- emoji: πŸ¦€
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- colorFrom: green
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- colorTo: yellow
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  sdk: gradio
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- sdk_version: 6.19.0
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- python_version: '3.13'
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  app_file: app.py
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- pinned: false
 
 
 
 
 
 
 
 
 
 
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  title: Mobile Agent
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+ emoji: πŸ€–
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+ colorFrom: blue
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+ colorTo: indigo
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  sdk: gradio
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+ sdk_version: "4.44.0"
 
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  app_file: app.py
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+ pinned: true
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+ license: apache-2.0
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+ tags:
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+ - agent
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+ - mobile
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+ - on-device
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+ - smolagents
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+ - mcp
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+ - dispatchai
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+ models:
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+ - dispatchAI/Llama-3.2-1B-Instruct-Q4-mobile
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  ---
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+ # πŸ€– dispatchAI Mobile Agent
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+
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+ **A real AI agent running on a 1B parameter model β€” small enough for your pocket.**
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+
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+ This Space proves that useful AI agents can run on phone-sized models. The agent is powered by [Llama-3.2-1B-Instruct-Q4-mobile](https://huggingface.co/dispatchAI/Llama-3.2-1B-Instruct-Q4-mobile) β€” a 1B parameter model quantized to 4-bit, with a 700MB file size that runs at 18 tokens/sec on a Snapdragon 865.
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+
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+ ## Features
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+
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+ - πŸ’¬ **Chat** β€” Conversational AI on a 1B model
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+ - πŸ‘¨β€πŸ’» **Code generation** β€” Python code from natural language
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+ - πŸ”§ **MCP server** β€” Add this agent as a tool in Claude Desktop / Cursor
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+
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+ ## The Point
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+
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+ This isn't about matching GPT-4. It's about proving that a 1B model on a phone can be genuinely useful. For the tasks people actually do on phones β€” quick answers, code snippets, summaries, classifications β€” a 1B model is enough.
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+
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+ ## Run On Your Phone
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+
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+ ```bash
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+ hf download dispatchAI/Llama-3.2-1B-Instruct-Q4-mobile model.gguf
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+ llama-cli -m model.gguf -p "Hello!" -n 100 -t 4
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+ ```
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+ πŸš€ [dispatchAI](https://huggingface.co/dispatchAI) β€” Small. Mobile. Free. UAE-built.