---
model_name: LeeChanRX-LegalRights
tags:
- lora
- sft
- transformers
- trl
- unsloth
- legal-ai
pipeline_tag: text-generation
license: apache-2.0
datasets:
- LegalFlow-v1
language:
- en
---

# LeeChanRX-LegalRights

LeeChanRX-LegalRights is a fine-tuned legal language model built using supervised fine-tuning (SFT) on curated legal datasets.

## Features
- Legal question answering
- Contract explanation
- Basic legal reasoning
- Plain-language legal responses

## Training Data
- LegalFlow-v1 (50,000 samples)
- LegalBench
- LEDGAR
- EURLEX

## Method
- LoRA fine-tuning (Unsloth optimized)
- ~29M trainable parameters
- 0.96% of total model parameters

## Usage (Transformers)

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "LeeChanRX/LeeChanRX-LegalRights"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "Explain breach of contract in simple terms"

inputs = tokenizer(prompt, return_tensors="pt").to(model.device)

outputs = model.generate(
    **inputs,
    max_new_tokens=200,
    temperature=0.7,
    top_p=0.9
)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

### Chat Format Usage
```python
messages = [
    {"role": "system", "content": "You are a legal AI assistant."},
    {"role": "user", "content": "What are my rights if a contract is broken?"}
]
```

### Disclaimer
This model is for educational purposes only and is not a substitute for professional legal advice.

### Status
- Training: Completed
- Model: Ready for inference
- Version: LegalRights v1

---
If you want next upgrade, I can help you build:

👉 LegalRights v2 (advanced reasoning + court prediction)
---