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Guardion-1-8B Model Card

Guardion-1-8B is a pruned and quantized version of OpenAI gpt-oss-safeguard-20b, optimized for lower latency and local or specialized deployment while retaining 96% of the original model’s quality. The base model gpt-oss-safeguard-20b is a 21B-parameter safety judge with 3.6B active parameters, designed for evaluating LLM outputs across safety, grounding, and policy compliance tasks. Guardion-1-8B distills this into a compact 8B-parameter model with 2.7B active parameters — making it suitable for on-premise, edge, and latency-sensitive use cases.
This is the model page for the Grounding and Custom guardrails. See the guardrail overviews in Grounding and Custom.

Overview

  • Base model: OpenAI gpt-oss-safeguard-20b (21B params, 3.6B active)
  • Parameters: 8 billion (2.7B active)
  • Optimization: Pruned and quantized, retaining 96% quality
  • Architecture: Decoder-only transformer
  • License: Apache 2.0
  • Developed by: Guardion AI

Key Features

  • Multilingual — cross-lingual safety evaluation across diverse languages
  • Custom policies — bring your own judging policies without additional training
  • LoRA-compatible — suitable for LoRA adapters for task-specific fine-tuning
  • Built-in safety policies — Aegis 2.0 taxonomy, RAG hallucination, function calling validation

Built-in Safety Policies

The model ships with built-in support for the Aegis 2.0 safety taxonomy: Core safety policies: Fine-grained policies: RAG policies: Agentic workflow policies:

Available Versions

  • guardion-1-8b — current stable version

Benchmark Results

RAG Hallucination — TRUE Benchmark (Balanced Accuracy)

Measures faithfulness of LLM responses to provided context.

Function Calling Hallucination (Balanced Accuracy)

Evaluated on the FC Reward Bench dataset for detecting hallucinations in agentic tool-calling workflows.

How to Use Guardion-1-8B

Combine Guardion-1-8B with a guard policy, then evaluate with that policy.

Example: Grounding check

  • Grounding guardrail — configure policies for hallucination detection: /grounding
  • Custom guardrail — define your own policies: /custom