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---
license: apache-2.0
datasets:
- josedamico/sugarcane
language:
- en
base_model:
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- sugarcane
---
# 🌱 TinyLLaMA-Sugarcane
Welcome to the *first open-source LLM fine-tuned for sugarcane production*! 🧠🌾
This model is a fine-tuned version of [`TinyLLaMA`](https://huggingface.co/czi/TinyLlama-1.1B-Chat-v1.0), trained specifically on sugarcane-focused data. Developed by [SciCrop](https://scicrop.com) as part of its commitment to open innovation in agriculture, this is one of the first domain-specific small language models (SLMs) created for the agribusiness sector.
---
## 🚜 Why Sugarcane?
Sugarcane is one of the most important crops in Brazil and globally — but most LLMs know very little about its specific production cycle, challenges, and terminology.
By fine-tuning TinyLLaMA on 2,000+ question/answer pairs from real-world sugarcane use cases, we aim to deliver:
- ✅ Better accuracy
- ✅ Clearer answers
- ✅ Local deployment capabilities for agricultural experts, cooperatives, and researchers
---
## 🔍 Model Details
- **Base model**: `TinyLLaMA-1.1B-Chat`
- **Fine-tuned on**: Domain-specific QA pairs related to sugarcane
- **Architecture**: Causal LM with LoRA + QLoRA
- **Tokenizer**: `LLaMATokenizer`
- **Model size**: ~1.1B parameters
- **Format**: Available in both HF standard and `GGUF` for local/Ollama use
---
## 🧪 Try it locally with Ollama
We believe local models are the future for privacy-sensitive, domain-specific AI.
You can run this model locally using [Ollama](https://ollama.com):
```bash
ollama run infinitestack/tinyllama-sugarcane
```
👉 Or explore the model directly:
https://ollama.com/infinitestack/tinyllama-sugarcane
---
## 🌐 About InfiniteStack
This model is part of **InfiniteStack**, a platform by [SciCrop](https://scicrop.com) that helps companies in the agri-food-energy-environment chain create, train, and deploy their own AI and analytics solutions — securely and at scale.
### 📦 InfiniteStack offers:
- A containerized platform that runs on-prem or in private cloud
- Full support for **SLMs and LLMs** using your **real and private data**
- No/Low-code interfaces to *Collect*, *Automate*, *Leverage*, *Catalog*, *Observe*, and *Track* data pipelines and AI assets
🌐 Learn more: https://infinitestack.ai
---
## 🧠 Why Small Language Models (SLMs)?
SLMs are great when:
- You need local inference (offline, on-device, or private)
- Your domain is narrow and specific
- You want full control over fine-tuning and usage
- You care about speed, size, and cost-efficiency
Big isn’t always better. Sometimes, smart and focused beats giant and generic. 💡
---
## 🤝 Community & Open Innovation
This work reflects SciCrop’s ongoing commitment to the open-source ecosystem, and to creating useful, usable AI for real-world agribusiness.
Feel free to fork, contribute, fine-tune further, or use it in your own ag project.
We’d love to hear how you're using it!
---
## 📂 Files included
This repo includes:
- `config.json`
- `tokenizer.model`
- `tokenizer.json`
- `model.safetensors`
- `special_tokens_map.json`
- `generation_config.json`
- `tokenizer_config.json`
- `README.md`
A merged and converted `.gguf` version is also available at **Ollama Hub**.
---
## 📬 Questions or Contributions?
Ping us at:
📧 [email protected]
🌐 https://scicrop.com
🌱 https://infinitestack.ai
Made with ☕, 🌾 and ❤️ in Brazil
by @josedamico and the InfiniteStack team |