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Model: KissanAI/ThinkingDhenu1-CRSA-India-preview
Source: Original Platform

README.md

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+---
+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.**