
# AgronoMistral
<img src="https://cdn-uploads.huggingface.co/production/uploads/63042a3d7373aacccd896484/UqOsPoPc__ytlGDHYfI9S.jpeg" width="800" >

# About
Agronomistral is fine tuned with agronomy information from textbooks, university extension websites, government websites, and agronomic studies.
<br>Agronomistral consistently outperforms the base model, mistralai/Mistral-7B-v0.1 on the [agronomy benchmark](https://github.com/gbstox/agronomy_llm_benchmarking).

# Benchmark comparison
| Model&nbsp;Name | Score | Date&nbsp;Tested |
|----------------|-------|-----------------|
| gpt-4-1106-preview | 83.84% | 2024-01-02 |
| Mixtral-8x7B-Instruct-v0.1 | 75.76% | 2024-01-02 |
| fbn-norm | 74.75% | 2024-01-02 |
| gpt-3.5-turbo | 73.74% | 2024-01-02 |
| OpenHermes-2p5-Mistral-7B | 65.66% | 2024-01-02 |
| AgronoMistral | 58.59% | 2024-01-08 |
| mistral-7b-instruct-v0.1_Q5_K_M | 47.47% | 2024-01-08 |

{"language": ["en"], "tags": ["mistral", "instruct", "finetune", "agriculture"], "datasets": ["gbstox/agronomy-resources"], "base_model": "mistralai/Mistral-7B-v0.1"}
gguf mistral instruct finetune agriculture en dataset:gbstox/agronomy-resources base_model:mistralai/Mistral-7B-v0.1 region:us