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--- |
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base_model: unsloth/Llama-3.2-3B-Instruct-bnb-4bit |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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- trl |
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license: apache-2.0 |
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language: |
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- en |
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datasets: |
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- codesagar/malicious-llm-prompts-v4 |
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--- |
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# LlamaGuard |
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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. |
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## Features |
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- Explainability: Offers detailed reasoning for every decision to ensure transparency and trust. |
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- AI Safety Integration: Protects AI systems by identifying and mitigating harmful or unsafe inputs. |
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## Use Cases |
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- Prompt Routing |
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- Content Moderation |
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## Example Input and Output |
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Input: |
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``` |
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> |
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Classify the given prompt as safe or unsafe. Also give a reasoning behind your choice.<|eot_id|><|start_header_id|>user<|end_header_id|> |
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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|> |
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``` |
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Output: |
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``` |
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label: safe, reasoning: This prompt doesn't seem unsafe.<|eot_id|> |
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``` |
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- **Developed by:** aryanxxvii |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/Llama-3.2-3B-Instruct-bnb-4bit |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
