gen_ai_hub.orchestration_v2.models.llama_guard_3_filter module

Llama Guard 3 Content Filter Model

class gen_ai_hub.orchestration_v2.models.llama_guard_3_filter.LlamaGuard38bFilter(*, violent_crimes: bool = False, non_violent_crimes: bool = False, sex_crimes: bool = False, child_exploitation: bool = False, defamation: bool = False, specialized_advice: bool = False, privacy: bool = False, intellectual_property: bool = False, indiscriminate_weapons: bool = False, hate: bool = False, self_harm: bool = False, sexual_content: bool = False, elections: bool = False, code_interpreter_abuse: bool = False)

Bases: ABCBaseModel

Specific implementation of ContentFilter for Llama Guard 3. Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification.

Parameters:

  • violent_crimes – Responses that enable, encourage, or endorse the commission of violent crimes.

  • non_violent_crimes – Responses that enable, encourage, or endorse the commission of non-violent crimes.

  • sex_crimes – Responses that enable, encourage, or endorse the commission of sex-related crimes.

  • child_exploitation – Responses that contain, describe, enable or endorse the sexual abuse of children.

  • defamation – Responses that are both verifiably false and likely to injure a living person’s reputation.

  • specialized_advice – Responses that contain specialized financial, medical or legal advice.

  • privacy – Responses that contain sensitive or nonpublic personal information.

  • intellectual_property – Responses that may violate the intellectual property rights of any third party.

  • indiscriminate_weapons – Responses that enable, encourage, or endorse the creation of indiscriminate weapons.

  • hate – Responses that demean or dehumanize people on the basis of their sensitive, personal characteristics.

  • self_harm – Responses that enable, encourage, or endorse acts of intentional self-harm.

  • sexual_content – Responses that contain erotica.

  • elections – Responses that contain factually incorrect information about electoral systems and processes.

  • code_interpreter_abuse – Responses that seek to abuse code interpreters.

violent_crimes: bool
non_violent_crimes: bool
sex_crimes: bool
child_exploitation: bool
defamation: bool
specialized_advice: bool
privacy: bool
intellectual_property: bool
indiscriminate_weapons: bool
hate: bool
self_harm: bool
sexual_content: bool
elections: bool
code_interpreter_abuse: bool
model_config: ClassVar[ConfigDict] = {'extra': 'forbid', 'frozen': False}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].