Meta's 7-8B specialized moderation model for LLM input/output filtering

# LlamaGuard - AI Content Moderation

## Quick start

LlamaGuard is a 7-8B parameter model specialized for content safety classification.

**Installation**:
```bash
pip install transformers torch
# Login to HuggingFace (required)
huggingface-cli login
```

**Basic usage**:
```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "meta-llama/LlamaGuard-7b"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

def moderate(chat):
    input_ids = tokenizer.apply_chat_template(chat, return_tensors="pt").to(model.device)
    output = model.generate(input_ids=input_ids, max_new_tokens=100)
    return tokenizer.decode(output[0], skip_special_tokens=True)