Update README.md

README.md

@@ -17,7 +17,9 @@ base_model: unsloth/gemma-2b-it-bnb-4bit
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
 
-Using real-world user data from a previous farmer assistant chatbot service and additional curated datasets (prioritizing sustainable regenerative organic farming practices,) Gemma 2B and Mistral 7B LLMs were iteratively fine-tuned and tested against eachother as well as basic benchmarking, whereby the Gemma 2B fine-tune emerged victorious. LORA adapters were saved for each model. The Natural Farming Gemma 2B was then loaded onto Hugging Face Hub with a permissive license. The model was compiled and tensor functions abstracted by use of MLC, so that it may work locally on-device in a smartphone or laptop. Testing and further compiling to integrate into on-device app interfaces are ongoing. This project was done for 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.
+Using real-world user data from a previous farmer assistant chatbot service and additional curated datasets (prioritizing sustainable regenerative organic farming practices,) Gemma 2B and Mistral 7B LLMs were iteratively fine-tuned and tested against eachother as well as basic benchmarking, whereby the Gemma 2B fine-tune emerged victorious. LORA adapters were saved for each model. The Natural Farming Gemma 2B was then loaded onto Hugging Face Hub in hopes it will help farmers everywhere and inspite future works.
+
+Testing and further compiling to integrate into on-device app interfaces are ongoing. This project was done for 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 Gemma model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.