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Model: LeeChanRX/LeeChan-LegalRights
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---
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)
---