Using real-world user data from a previous farmer assistant chatbot service and additional curated datasets (prioritizing sustainable regenerative organic farming practices,) this LLM was iteratively fine-tuned and tested in comparison to our previous releases (Gemma 2B Natural Farmer and Mistral 7B Natural Farmer) as well as basic benchmarking. This model was then loaded onto Hugging Face Hub in hopes it will help farmers everywhere and inspire future works.

Shout out to roger j (bhugxer) for help with the dataset and training framework.

Testing and further compiling to integrate into on-device app interfaces are ongoing. This project was created by Copyleft Cultivars, a nonprofit, in partnership with Open Nutrient Project and Evergreen State College. This project serves to democratize access to farming knowledge and support the protection of vulnerable plants.

This is V1 beta. It runs locally on Ollama with some expirimental configuring so you can use it off the grid and places where internet is not accessible (ie most farms I've been on.)

This llama 3.1 model was trained with Unsloth and Huggingface's TRL library.

This is a fine tune of Llama 3.1 and inherits all use terms and licensing from the base model. Please review the original release by Meta for more details.