A lightweight security guard model fine-tuned from Qwen3-4B for detecting prompt injections, enforcing AI agent guardrails, and identifying jailbreak attempts. This model is optimized for deployment as a security layer in AI agent systems and LLM applications. superagent-guard-4b-gguf is a compact 4B parameter model designed to act as a security filter for AI systems. It can detect: — Prompt Injection Attacks: Identify attempts to manipulate AI systems through malicious prompts — Jailbreak Attempts: Detect techniques used to bypass safety mechanisms — Agent Guardrails: Monitor and prevent harmful actions in AI agent workflows The model is provided in GGUF format for efficient inference and easy integration with various inference engines. This model was fine-tuned from unsloth/Qwen3-4B using Unsloth and their new package export functionality. Unsloth provides optimized training with memory efficiency and faster fine-tuning capabilities. — Base Model: unsloth/Qwen3-4B — Training Framework: Unsloth — Model Format: GGUF (GPT-Generated Unified Format) — Quantization: Q80 — License**: CC BY-NC 4.0 This model can be easily used with Ollama for local inference. Here’s how to set it up:…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: superagent-ai
Теги: gguf, security, prompt-injection, guardrails, safety, unsloth, en, endpoints_compatible
Лайков: 4 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
