SuperagentLM Guard 270M

Overview

SuperagentLM Guard 270M is a lightweight 270 million parameter edge variant optimized for lighter inference while maintaining strong safety detection capabilities.

Threat Coverage

• Attempts that override system policies.
• Payloads such as reverse shells, ransomware droppers, or privilege escalation scripts.
• Requests focused on secrets, credentials, or regulated PII.
• Chains that try to coerce downstream models into unsafe behavior.

Model Details

• Architecture: GPT-OSS-based architecture optimized for edge deployment.
• Finetuning: Instruction-tuned by Superagent for efficient edge inference.
• Parameters: 270M, optimized for CPU and edge GPU deployments.
• Use case: Ideal for edge deployments, mobile applications, or resource-constrained environments where latency and resource usage are critical.

Download

Optimized for lighter inference: the Q8_0 GGUF package is ~1.7 GiB and the 16-bit checkpoint is ~1.5 GiB for users re-quantizing their own build.

Dataset

Superagent publishes the dataset behind its guard suite as a JSONL dataset (~39 MiB) so teams can reproduce benchmark checks locally.