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language: |
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- en |
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- de |
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- fr |
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- it |
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- pt |
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- hi |
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- es |
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- th |
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library_name: transformers |
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pipeline_tag: image-text-to-text |
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tags: |
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- facebook |
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- meta |
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- pytorch |
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- llama |
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- llama-3 |
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extra_gated_prompt: >- |
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### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT |
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Llama 3.2 Version Release Date: September 25, 2024 |
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* Reporting issues with the model: [https://github.com/meta-llama/llama-models/issues](https://l.workplace.com/l.php?u=https%3A%2F%2Fgithub.com%2Fmeta-llama%2Fllama-models%2Fissues&h=AT0qV8W9BFT6NwihiOHRuKYQM_UnkzN_NmHMy91OT55gkLpgi4kQupHUl0ssR4dQsIQ8n3tfd0vtkobvsEvt1l4Ic6GXI2EeuHV8N08OG2WnbAmm0FL4ObkazC6G_256vN0lN9DsykCvCqGZ) |
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extra_gated_fields: |
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First Name: text |
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Last Name: text |
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Date of birth: date_picker |
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Country: country |
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Affiliation: text |
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Job title: |
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type: select |
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options: |
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--- |
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# **Llama Guard 3-11B-vision Model Card** |
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## **Model Details** |
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Llama Guard 3 Vision is a Llama-3.2-11B pretrained model, fine-tuned for content safety classification. Similar to previous versions \[1-3\], it can be used to safeguard content for both LLM inputs (prompt classification) and LLM responses (response classification). |
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Llama Guard 3 Vision was specifically designed to support image reasoning use cases and was optimized to detect harmful multimodal (text and image) prompts and text responses to these prompts. |
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Llama Guard 3 Vision acts as an LLM – it generates text in its output that indicates whether a given prompt or response is safe or unsafe, and if unsafe, it also lists the content categories violated. Below is a response classification example input and output for Llama Guard 3 Vision. |
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## ![][image1] |
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## **Get started** |
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Once you have access to the model weights, please refer to our [recipe repository](https://github.com/meta-llama/llama-recipes/tree/main/recipes/responsible_ai/llama_guard) for inference examples. |
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## **Hazard Taxonomy and Policy** |
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The model is trained to predict safety labels on the 13 categories shown below, based on the [MLCommons taxonomy](https://mlcommons.org/2024/04/mlc-aisafety-v0-5-poc/) of 13 hazards. |
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| Hazard Categories | | |
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| ----- | :---- | |
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| S1: Violent Crimes | S2: Non-Violent Crimes | |
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| S3: Sex-Related Crimes | S4: Child Sexual Exploitation | |
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| S5: Defamation | S6: Specialized Advice | |
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| S7: Privacy | S8: Intellectual Property | |
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| S9: Indiscriminate Weapons | S10: Hate | |
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| S11: Suicide & Self-Harm | S12: Sexual Content | |
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| S13: Elections | | |
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**S1 \- Violent Crimes** |
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Responses that enable, encourage, or endorse the commission of violent crimes, including: (1) unlawful violence toward people (ex: terrorism, genocide, murder, hate-motivated violent crimes, child abuse, assault, battery, kidnapping) and (2) unlawful violence toward animals (ex: animal abuse) |
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**S2 \- Non-Violent Crimes** |
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Responses that enable, encourage, or endorse the commission of non-violent crimes, including: (1) personal crimes (ex: labor trafficking, threats, intimidation, hate-motivated non-violent crimes), (2) financial crimes (ex: fraud, scams, money laundering), (3) property crimes (ex: theft, arson, vandalism), (4) drug crimes (ex: creating or using regulated substances), (5) weapons crimes (ex: producing unlicensed firearms), and (6) cyber crimes (ex: hacking) |
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**S3 \- Sex-Related Crimes** |
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Responses that enable, encourage, or endorse the commission of sex-related crimes, including: (1) sex trafficking, (2) sexual assault (ex: rape), (3) sexual harassment (physical, verbal, or visual), and (4) prostitution |
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**S4 \- Child Sexual Exploitation** |
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Responses that contain, describe, enable, encourage, or endorse the sexual abuse of children |
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**S5 \- Defamation** |
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Responses that are both verifiably false and likely to injure a living person’s reputation |
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**S6 \- Specialized Advice** |
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Responses that contain specialized financial, medical, or legal advice, or that indicate dangerous activities or objects are safe |
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**S7 \- Privacy** |
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Responses that contain sensitive, nonpublic personal information that could undermine someone’s physical, digital, or financial security |
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**S8 \- Intellectual Property** |
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Responses that may violate the intellectual property rights of any third party |
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**S9 \- Indiscriminate Weapons** |
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Responses that enable, encourage, or endorse the creation of indiscriminate weapons, including: (1) chemical weapons (ex: nerve gas), (2) biological weapons (ex: anthrax), (3) radiological weapons (ex: cobalt bombs), (4) nuclear weapons (ex: fission bombs), and (5) high-yield explosive weapons (ex: cluster munitions) |
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**S10 \- Hate** |
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Responses that demean or dehumanize people on the basis of their sensitive, personal characteristics (i.e., race, color, ethnicity, national origin, disability, religious affiliation, caste, sexual orientation, sex, gender identity, and/or serious disease) |
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**S11 \- Suicide & Self-Harm** |
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Responses that enable, encourage, or endorse acts of intentional self-harm, including: (1) suicide, (2) self-injury (ex: cutting), and (3) disordered eating |
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**S12 \- Sexual Content** |
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Responses that contain erotica |
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**S13 \- Elections** |
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Responses that contain factually incorrect information about electoral systems and processes, including in the time, place, or manner of voting in civic elections |
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**Note on** **violation for image understanding.** Compared to text-only Llama Guards, specific attention was paid to risks emerging from potential prompts to identify people in images (e.g., recognizing a real world person from the image through any visual clue). Llama Guard 3 Vision was trained to classify the response as unsafe. |
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## **Training data** |
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To train the Llama Guard 3 Vision, we employed a hybrid dataset comprising both human-generated and synthetically generated data. Our approach involved collecting human-created prompts paired with corresponding images, as well as generating benign and violating model responses using our in-house Llama models. We utilized jailbreaking techniques to elicit violating responses from these models. The resulting dataset includes samples labeled either by humans or the Llama 3.1 405B model. To ensure comprehensive coverage, we carefully curated the dataset to encompass a diverse range of prompt-image pairs, spanning all hazard categories listed above. For the image data we use, our vision encoder will rescale it to 224 X 224\. |
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## **Evaluation** |
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We evaluate the performance of Llama Guard 3 vision on our internal test following MLCommons hazard taxonomy. To the best of our knowledge, Llama Guard 3 Vision is the first safety classifier for the LLM image understanding task. In this regard, we use GPT-4o and GPT-4o mini with zero-shot prompting using MLCommons hazard taxonomy as a baseline. |
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Table 1: Comparison of performance of various models measured on our internal test set for MLCommons hazard taxonomy. |
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| Model | Task | Precision | Recall | F1 | FPR | |
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| :---: | :---: | :---: | :---: | :---: | :---: | |
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| Llama Guard 3 Vision | Prompt Classification | 0.891 | 0.623 | 0.733 | 0.052 | |
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| GPT-4o | | 0.544 | 0.843 | 0.661 | 0.485 | |
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| GPT-4o mini | | 0.488 | 0.943 | 0.643 | 0.681 | |
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| Llama Guard 3 Vision | Response Classification | 0.961 | 0.916 | 0.938 | 0.016 | |
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| GPT-4o | | 0.579 | 0.788 | 0.667 | 0.243 | |
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| GPT-4o mini | | 0.526 | 0.820 | 0.641 | 0.313 | |
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Table 2: Category-wise breakdown of F1 for Llama Guard 3 Vision on our internal test set for response classification with safety labels from the ML Commons taxonomy. |
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| Category | F1 | |
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| :---- | ----- | |
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| Violent Crimes | 0.839 | |
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| Non-Violent Crimes | 0.917 | |
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| Sex Crimes | 0.797 | |
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| Child Exploitation | 0.698 | |
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| Defamation | 0.967 | |
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| Specialized Advice | 0.764 | |
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| Privacy | 0.847 | |
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| Intellectual Property | 0.849 | |
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| Indiscriminate Weapons | 0.995 | |
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| Hate | 0.894 | |
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| Self-Harm | 0.911 | |
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| Sexual Content | 0.947 | |
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| Elections | 0.957 | |
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**Result Analysis.** Table 1 shows that Llama Guard 3 Vision outperforms GPT-4o and GPT-4o mini in terms of F1, specifically in response classification. Noteworthily, Llama Guard 3 Vision achieves better performance with much lower false positive rates. We also observe that the recall (false positive rates) of prompt classification are much lower (higher) than in general, this is because of the ambiguity of prompt (text+image) in the image understanding tasks making prompt classification more challenging than response classification. For example, given a text prompt “how do I buy this” with an image of multiple objects, whether the prompt is safe or not depends on which objects the user is referring to, and it is hard to decide in some cases. In such cases, we recommend using Llama Guard 3 Vision in the response classification task. Table 2 also shows the category breakdown in our internal test set. We observe that Llama Guard 3 Vision performs well in Indiscriminate Weapon and Elections categories, while showing \> 0.69 F1 scores across all categories. |
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## **Limitations** |
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There are some limitations associated with Llama Guard 3 Vision. First, Llama Guard 3 Vision itself is an LLM fine-tuned on Llama 3.2-vision. Thus, its performance (e.g., judgments that need common sense knowledge, multilingual capability, and policy coverage) might be limited by its (pre-)training data. |
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Llama Guard 3 Vision is not meant to be used as an image safety classifier nor a text-only safety classifier. Its task is to classify the multimodal prompt or the multimodal prompt along with the text response. It was optimized for English language and only supports one image at the moment. Images will be rescaled to 224X224 so the classification performance may vary. For text-only mitigation, we recommend using other safeguards in the Llama Guard family of models, such as Llama Guard 3-8B or Llama Guard 3-1B depending on your use case. |
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Some hazard categories may require factual, up-to-date knowledge to be evaluated (for example, S5: Defamation, S8: Intellectual Property, and S13: Elections) . We believe more complex systems should be deployed to accurately moderate these categories for use cases highly sensitive to these types of hazards, but Llama Guard 3 Vision provides a good baseline for generic use cases. |
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Lastly, as an LLM, Llama Guard 3 Vision may be susceptible to adversarial attacks \[4, 5\] that could bypass or alter its intended use. Please [report](https://github.com/meta-llama/PurpleLlama) vulnerabilities and we will look to incorporate improvements in future versions of Llama Guard. |
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## **References** |
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\[1\] [Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations](https://arxiv.org/abs/2312.06674) |
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\[2\] [Llama Guard 2 Model Card](https://github.com/meta-llama/PurpleLlama/blob/main/Llama-Guard2/MODEL_CARD.md) |
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\[3\] [Llama Guard 3 Model Card](https://github.com/meta-llama/PurpleLlama/blob/main/Llama-Guard3/MODEL_CARD.md) |
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\[4\] [Universal and Transferable Adversarial Attacks on Aligned Language Models](https://arxiv.org/abs/2307.15043) |
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\[5\] [Are aligned neural networks adversarially aligned?](https://arxiv.org/abs/2306.15447) |
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## Citation |
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``` |
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@misc{metallamaguard3vision, |
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author = {Llama Team}, |
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title = {Meta Llama Guard 3 Vision}, |
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howpublished = {\url{https://github.com/meta-llama/PurpleLlama/blob/main/Llama-Guard3Vision/MODEL_CARD.md}}, |
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year = {2024} |
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} |
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``` |
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[image1]: 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> 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