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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Welcome to Opt.Gear
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+ This is the official Hugging Face organization for **Opt.Gear**, the family of On-Device language models developed by **OptAI Inc.**
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+ We will continuously release and update **On-Device LLM, LMM and Small Agent Model** designed for edge AI applications.
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+ Build and scale yout AI services with models optimized specifically for On-Device deployment.
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+ ## Opt.Gear Family of Open-Weight Models
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+ - **Opt.Gear**: A family of large language models optimized for on-device inference, available in **1B** and **270M** parameter sizes.
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+ - **Opt.Gear-QAT**: Quantization-aware large language models designed for efficient deployment on on-device platforms.
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+ - **Opt.Gear-1M**: An ultra-lightweight language model designed for deployment on MCUs, including platforms such as FPGA and Raspberry Pi.
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+ - (TBU) **Opt.FGear**: A tool-calling language model designed for on-device AI agents.
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+ - (TBU) **Opt.VGear**: A lightweight vision-language model (VLM) for a wide range of multimodal tasks.
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+ - (TBU) **Opt.Gear-MTP**: A draft model for accelerating inference in on-device environments through multi-token prediction.
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