Spaces:
Runtime error
Runtime error
| title: Mobile Agent | |
| emoji: π€ | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: "4.44.0" | |
| app_file: app.py | |
| pinned: true | |
| license: apache-2.0 | |
| tags: | |
| - agent | |
| - mobile | |
| - on-device | |
| - smolagents | |
| - mcp | |
| - dispatchai | |
| models: | |
| - dispatchAI/Llama-3.2-1B-Instruct-Q4-mobile | |
| # π€ dispatchAI Mobile Agent | |
| **A real AI agent running on a 1B parameter model β small enough for your pocket.** | |
| 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. | |
| ## Features | |
| - π¬ **Chat** β Conversational AI on a 1B model | |
| - π¨βπ» **Code generation** β Python code from natural language | |
| - π§ **MCP server** β Add this agent as a tool in Claude Desktop / Cursor | |
| ## The Point | |
| 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. | |
| ## Run On Your Phone | |
| ```bash | |
| hf download dispatchAI/Llama-3.2-1B-Instruct-Q4-mobile model.gguf | |
| llama-cli -m model.gguf -p "Hello!" -n 100 -t 4 | |
| ``` | |
| π [dispatchAI](https://huggingface.co/dispatchAI) β Small. Mobile. Free. UAE-built. | |