finetuned-llama-3.2-3b

🌾 Agricultural Advisory LLM — Llama-3.2-3B LoRA

A LoRA fine-tuned version of Llama-3.2-3B-Instruct for agricultural question answering and crop advisory generation. This is the 3B parameter variant — more capable than the 1B version for complex agronomic reasoning while remaining lightweight enough for edge deployment.

Fine-tuned using Unsloth for fast, memory-efficient training on a single GPU.

Also available: 1B variant (lighter, faster inference)

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Model Details

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Intended Use

✅ Direct Use

• Answering crop-specific agricultural questions (pest control, irrigation, fertilization, disease management)
• Generating advisories from remote sensing inputs (NDVI, EVI, crop growth stage)
• Decision support for farmers, agronomists, and precision agriculture systems

✅ Downstream Use

• Backend for agri-advisory chatbots and mobile apps
• Integration into precision agriculture dashboards
• RAG pipelines augmented with real-time field sensor data

❌ Out-of-Scope Use

• Medical, legal, or financial advice
• Non-agricultural domains
• Autonomous high-stakes decisions without human expert review

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Training Details

Training Data

Two datasets were mixed during fine-tuning:

1. General Agricultural Advisories — structured Q&A with fields: crop, topic, question, answer
2. Farm Sensor Data Advisories — precision agriculture records with fields: crop_type, stage, NDVI, EVI, and generated Advisory

Training Hyperparameters

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How to Get Started

With Unsloth (recommended — fastest)