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@@ -13,10 +13,12 @@ base_model: unsloth/gemma-2b-it-bnb-4bit
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  # Uploaded model
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- - **Developed by:** Solshine
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  - **License:** apache-2.0
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  - **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
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- This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
 
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
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  # Uploaded model
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+ - **Developed by:** Caleb DeLeeuw
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  - **License:** apache-2.0
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  - **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
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+ 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.
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+ This Gemma model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)