Update README.md

# QUIN3-1.7B-Plant-Based

## Model Summary
This model is a fine-tuned version of **Qwen3-1.7B (base)** using LoRA.
The fine-tune focuses on nutrition, diet, and related Q&A tasks.

- **Base model:** Qwen3-1.7B (Apache 2.0)
- **Fine-tune method:** LoRA, merged for ease of use
- **Parameters:** 1.7B
- **Dataset size:** ~1,255 instruction–response pairs
- **Data sources:**
- Synthetic data generated from transcripts of [NutritionFacts.org](https://nutritionfacts.org) videos and blog posts
- Mix of adversarial examples and trivia questions

## Intended Use
- Research and educational purposes
- Personal experimentation
- **Not suitable for clinical or commercial use**

## Limitations
- Trained on a small dataset
- Not a medical authority
- Occasionally outputs non-English characters
- Long outputs may truncate or degrade in quality

## Usage
Example (Transformers):

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("your-username/quin3-1.7b-nutrition-lora-merged")
model = AutoModelForCausalLM.from_pretrained("your-username/quin3-1.7b-nutrition-lora-merged")

inputs = tokenizer("Explain the benefits of legumes for blood sugar control.", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=300)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

README.md

@@ -1,5 +1,15 @@
----
-license: other
-license_name: cc-by-nc-sa-4
-license_link: https://creativecommons.org/licenses/by-nc-sa/4.0/
----
+---
+license: other
+license_name: cc-by-nc-sa-4
+license_link: https://creativecommons.org/licenses/by-nc-sa/4.0/
+language:
+- en
+base_model:
+- Qwen/Qwen3-1.7B-Base
+tags:
+- WFPB
+- vegan
+- nutrition
+- biology
+- medical
+---