README.md

---
language:
- en
license: other
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
- biology
- farming
- agriculture
- climate
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
---

# Uploaded  model

- **Developed by:** Caleb DeLeeuw; Copyleft Cultivars, a nonprofit
- **License:** Hippocratic 3.0 CL-Eco-Extr
[![Hippocratic License HL3-CL-ECO-EXTR](https://img.shields.io/static/v1?label=Hippocratic%20License&message=HL3-CL-ECO-EXTR&labelColor=5e2751&color=bc8c3d)](https://firstdonoharm.dev/version/3/0/cl-eco-extr.html)
https://firstdonoharm.dev/version/3/0/cl-eco-extr.html
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
- **Dataset Used :** CopyleftCultivars/Training-Ready_NF_chatbot_conversation_history currated from real-world agriculture and natural farming questions and the best answers from a previous POC chatbot which were then lightly editted by domain experts

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, while this Mistral fine-tune was still viable. LORA adapters were saved for each model.

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

This mistral model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)