初始化项目，由ModelHub XC社区提供模型

Model: Vrizzo/agri_slm
Source: Original Platform

README.md

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+---
+license: mit
+base_model: microsoft/phi-1_5
+tags:
+- agriculture
+- india
+- lora
+- crop-recommendation
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# Agri-SLM India — Crop Recommendation
+
+LoRA fine-tune of microsoft/phi-1_5 on the Kaggle Crop Recommendation Dataset
+(2,200 real records: soil N-P-K, pH, temperature, humidity, rainfall -> recommended crop).
+
+## What it does
+Given soil nutrient and climate readings, recommends one of 22 crops.
+
+## What it does NOT do
+General farming advice, pest/disease guidance, yield predictions, or anything
+outside the soil->crop mapping it was trained on. It will produce plausible-sounding
+but fabricated numbers (e.g. yield figures) for anything outside its training data --
+do not trust specific numeric claims from it.
+
+## Usage
+Prompt format: `Question: <soil/climate description>\nAnswer:`
+
+## Training data
+Kaggle Crop Recommendation Dataset by Atharva Ingle -- check the dataset's license
+before assuming redistribution rights for the raw data itself.