---
language:
- en
- hi
- te
- ta
- kn
- mr
- bn
- gu
- pa
license: apache-2.0
library_name: mlx
tags:
- agriculture
- indian-farming
- fine-tuned
- lora
- qwen3
- mlx
- crops
- farming
- india
base_model: Ila-AI/IlaAI-v1
datasets:
- KissanAI/Thinking-climate-100k
pipeline_tag: text-generation
---

# IlaAI-v1.1 π±
### Earth Β· Crop Β· Intelligence
**An open-source Agricultural AI for Bharat's Farmers**
[](https://huggingface.co/Ila-AI)
[](https://github.com/IlaAI)
[](LICENSE)
[]()
[]()
---
## πΎ What's New in v1.1?
IlaAI-v1.1 is an improved version of IlaAI-v1 with:
- **5x more training data** β 9,000 rows vs 1,800 rows
- **Better dataset** β KissanAI Thinking-climate-100k (chain-of-thought reasoning)
- **More training** β 3,000 iterations vs 2,000 iterations
- **Better Val Loss** β 0.821 vs 0.874
- **Multilingual system prompt** β responds in user's language
---
## π Quick Start
```python
from mlx_lm import load, generate
from mlx_lm.sample_utils import make_sampler
model, tokenizer = load("Ila-AI/IlaAI-v1.1")
messages = [
{"role": "system", "content": "You are IlaAI, an expert agricultural assistant for Indian farmers. Always respond in the same language the user writes in. Keep answers concise, practical and under 200 words."},
{"role": "user", "content": "My wheat crop has yellow spots on leaves. What should I do?"}
]
text = tokenizer.apply_chat_template(
messages,
add_generation_prompt=True,
tokenize=False
)
sampler = make_sampler(temp=0.7, top_p=0.9)
response = generate(model, tokenizer, prompt=text, max_tokens=1000, sampler=sampler, verbose=True)
```
---
## π Training Details
| Detail | Value |
|--------|-------|
| Base Model | IlaAI-v1 (Qwen3-4B) |
| Framework | MLX LoRA |
| Hardware | Apple M4 Mac Mini (24GB) |
| Dataset | KissanAI/Thinking-climate-100k |
| Training rows | 9,000 |
| Validation rows | 1,000 |
| Training iters | 3,000 |
| LoRA rank | 8 |
| Final Val Loss | **0.821** |
| Peak Memory | 4.507 GB |
---
## π£οΈ Language Support
| Language | Status |
|----------|--------|
| English | β
Excellent |
| Hindi | β
Good |
| Telugu | β οΈ Basic |
| Tamil | β οΈ Basic |
| Kannada | β οΈ Basic |
| Others | β οΈ Basic |
> Full multilingual support coming in **IlaAI-v2** with real multilingual agriculture data.
---
## β οΈ Limitations
- **Best performance in English** β primary training language
- **Hindi** β good quality responses
- **Other Indian languages** β basic support, improving in v2
- **Text only** β vision model coming separately
---
## πΊοΈ Roadmap
### β
Phase 1 β Foundation
- [x] IlaAI-v1 β English agriculture advisory
- [x] IlaAI-v1.1 β Improved English + basic multilingual
### π Phase 2 β True Multilingual (v2)
- [ ] Real multilingual agriculture data (BPCC + AI4Bharat)
- [ ] 22+ Indian languages with proper quality
- [ ] Release IlaAI-v2
### ποΈ Phase 3 β Vision
- [ ] Crop disease detection from photos
- [ ] IlaAI-Vision model
### π± Phase 4 β Mobile App
- [ ] Free Android & iOS app
- [ ] On-device inference
- [ ] Voice input in Indian languages
### π Phase 5 β Global
- [ ] Expand beyond India
- [ ] Support farmers worldwide
- [ ] API for developers
---
## π License
Apache 2.0 β free to use, fine-tune, and build upon.
---
## π Acknowledgements
- [KissanAI](https://huggingface.co/KissanAI) for open-sourcing Dhenu models and datasets
- [Qwen Team](https://huggingface.co/Qwen) for Qwen3 base models
- [Apple MLX Team](https://github.com/ml-explore/mlx) for MLX framework
- Every Indian farmer who inspired this project πΎ
---