---
library_name: transformers
tags:
- llama-factory
base_model:
- Qwen/Qwen3-4B
---
# Model Card for ThinkingDhenu1-CRSA-India-preview
This is an experimental research preview of a reasoning-augmented climate-smart agriculture (CRSA) model for Indian Agriculture.

## Model Details
|                       |                                                |
|-----------------------|------------------------------------------------|
| **Developed by**      | KissanAI (https://kissan.ai) |
| **Base model**        | [`Qwen/Qwen3-4B`](https://huggingface.co/Qwen/Qwen3-4B) |
| **Architecture**      | Qwen3 decoder-only causal-LM, 32 k context |
| **Fine-tuning method**| Supervised fine-tuning (SFT) via *llama-factory* |
| **Languages**         | Primarily English + technical Indian-agricultural vocabulary |
| **License**           | Apache 2.0 (inherits from base model) |

## Intended Use
**Primary purpose**  
Assist farmers, agronomists and ag-tech developers with *Climate-Resilient and Sustainable Agriculture* (CRSA) recommendations tailored to Indian conditions (e.g., APCNF/organic practices, climate-smart cropping, pest IPM, soil/nutrient management).

**Direct use examples**
* Decision-support micro-service answering agronomic queries.
* Content generation for ag-extension material.

**Out-of-scope uses**
* Any medical, legal, or financial advice.
* Real-time critical decision making without human validation.
* Disinformation, hateful or extremist content.

## Training Data
| Dataset | Size | Notes |
|---------|------|-------|
| [`KissanAI/Thinking-climate-100k`](https://huggingface.co/datasets/KissanAI/Thinking-climate-100k) | 101 k multi-turn dialogues on climate-smart ag topics with thinking tags |

The dataset is synthetic/aligned through *“chain-of-thought + answer”* format that explicitly separates the model’s private reasoning (`<think> … </think>`) from the final answer, reducing chain-of-thought leakage at inference time.


## Bias, Risks & Limitations
* May embed agronomic bias toward Indian Natural Farming practices (APCNF).  
* Climate data cited is *static* (2024) – cross-check against latest IMD advisories.  
* Still prone to LLM hallucinations; always validate high-stakes advice with qualified professionals.


## Citation
```
@misc{KissanAI2025ThinkingDhenu1,
  title        = {ThinkingDhenu1-CRSA-India-preview},
  author       = {KissanAI},
  howpublished = {\url{https://huggingface.co/KissanAI/ThinkingDhenu1-CRSA-India-preview}},
  year         = {2025},
  note         = {Fine-tuned from Qwen3-4B on Indian climate-smart agriculture data.}
}
```

## Contact
Contact
Questions or feedback? Open an issue on the model repo.


## Next steps you might consider

1. **Add private eval numbers.** 
2. **Specify dataset licences.**