gemma3-1b-military_drone

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Model Description

This project focuses on fine-tuning a 1 billion parameter language model (Gemma 3) for a specialized military drone application. The fine-tuning process, utilizing Unsloth for efficiency and LoRA for parameter-efficient adaptation, is performed on a capable cloud machine. The primary objective is to generate lightweight LoRA adapters. These adapters, when combined with the 4-bit quantized base model, are designed to enable real-time inference directly on a resource-constrained Raspberry Pi (with 4GB RAM). The model processes input drone telemetry data (like GPS, speed, sensor readings) to produce actionable assessments and recommendations, facilitating on-device decision support in tactical scenarios.

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Training Details

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Technical Specifications [optional]

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Framework versions

• PEFT 0.15.2