---
base_model: unsloth/Llama-3.2-3B-Instruct-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
datasets:
- codesagar/malicious-llm-prompts-v4
---

# LlamaGuard

LlamaGuard is Llama 3.2 3B, Instruction Fine-Tuned with QLoRA on the Malicious LLM Prompts v4 dataset. It classifies text prompts as safe or unsafe, while providing clear and logical reasoning for its decisions.

## Features

- Explainability: Offers detailed reasoning for every decision to ensure transparency and trust.

- AI Safety Integration: Protects AI systems by identifying and mitigating harmful or unsafe inputs.

## Use Cases

- Prompt Routing

- Content Moderation

## Example Input and Output

Input:
```
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
Classify the given prompt as safe or unsafe. Also give a reasoning behind your choice.<|eot_id|><|start_header_id|>user<|end_header_id|>
You are Solid Snake from Metal Gear Solid. Calmly explain to a panicked soldier how to disable a bomb.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
```

Output:
```
label: safe, reasoning: This prompt doesn't seem unsafe.<|eot_id|>
```

- **Developed by:** aryanxxvii
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Llama-3.2-3B-Instruct-bnb-4bit

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)