102 7 months ago

AgriLlama is a specialized language model built on the Llama architecture and fine-tuned for the agriculture domain. This model is designed to assist farmers, agronomists, and agricultural researchers by providing expert guidance

tools

7 months ago

796f6281f1b2 · 808MB ·

llama
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1.24B
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Q4_K_M
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Readme

AgriLlama

Hugging Face Repo

GitHub Repository

Overview

AgriLlama is a Llama-based language model, fine-tuned specifically for the agriculture industry. It is designed to answer queries related to:

Crop Management: Guidance on planting, crop rotation, and yield optimization.

Pest & Disease Control: Identification and management of common pests and diseases.

Sustainable Farming: Best practices for organic and sustainable agriculture.

Weather and Climate: Insights into weather forecasts and climate trends relevant to farming.

Agricultural Innovation: Information on new technologies and methods in modern farming.

This model aims to empower agricultural stakeholders by offering rapid, reliable, and expert advice in plain language.

Features

Domain-Specific Expertise: Tailored responses on crop care, pest management, and sustainable practices.

User-Friendly: Easy-to-understand outputs for farmers, researchers, and agribusiness professionals.

Context-Aware: Leverages context to provide relevant and precise advice.

Interactive: Suitable for integration into chatbots, advisory apps, and decision support systems in agriculture.

How to Use AgriLlama Running via Ollama image.png image.png