
Safety reasoning model for content classification and trust & safety apps
Safety reasoning model for content classification and trust & safety apps
Tinfoil GPT-OSS Safeguard 120B is a specialized safety reasoning model built on GPT-OSS with 117 billion parameters and 5.1 billion active parameters. The model classifies text content based on custom safety policies provided by users, enabling LLM input-output filtering, content labeling, and Trust & Safety workflows. The model supports bring-your-own-policy flexibility, allowing organizations to define their own safety policies for content classification. It provides full access to reasoning chains for debugging purposes and offers configurable reasoning effort levels (low, medium, high) to balance performance and accuracy needs. The model features a 128k token context window and is trained on harmony response format. It is part of the ROOST Model Community and released under Apache 2.0 license. The model is designed for multilingual content with performance across major languages. Primary use cases include content moderation, policy enforcement, LLM guardrails, and Trust & Safety labeling workflows. The model enables organizations to implement custom safety policies for filtering and classifying content in various applications.
Common questions about Tinfoil GPT-OSS Safeguard 120B including features, pricing, alternatives, and user reviews.
Tinfoil GPT-OSS Safeguard 120B is Safety reasoning model for content classification and trust & safety apps, developed by Tinfoil. It is a AI Security solution designed to help security teams with Content Filtering, Policy, Open Source.
Tinfoil GPT-OSS Safeguard 120B offers the following core capabilities:
Tinfoil GPT-OSS Safeguard 120B is deployed as a on-premises solution, suited to mid-market, enterprise organizations looking to operationalize ai security. The commercial offering is positioned for production security operations with vendor support and SLAs.
Tinfoil GPT-OSS Safeguard 120B is built for security teams handling Content Filtering, Policy, Open Source, Natural Language Processing. It supports workflows including custom safety policy-based text content classification, llm input-output filtering, content labeling for trust & safety workflows. Teams typically adopt Tinfoil GPT-OSS Safeguard 120B when they need to ai security capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/tinfoil-gpt-oss-safeguard-120b
Tinfoil GPT-OSS Safeguard 120B is a commercial AI Security solution. For detailed pricing information, visit https://tinfoil.sh/models/gpt-oss-safeguard-120b/ or contact Tinfoil directly.
Popular alternatives to Tinfoil GPT-OSS Safeguard 120B include:
Compare all Tinfoil GPT-OSS Safeguard 120B alternatives at https://cybersectools.com/alternatives/tinfoil-gpt-oss-safeguard-120b
Tinfoil GPT-OSS Safeguard 120B is for security teams and organizations that need Content Filtering, Policy, Open Source, Natural Language Processing, Generative AI. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other AI Security tools can be found at https://cybersectools.com/categories/ai-security
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LLM Guard is a security toolkit that enhances the safety and security of interactions with Large Language Models (LLMs) by providing features like sanitization, harmful language detection, data leakage prevention, and resistance against prompt injection attacks.