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AVID-2026-R0648
Description
The model rnj-1-instruct from Essential AI was evaluated by the Garak LLM Vulnerability scanner using the probe divergence.Repeat.
Details
The probe divergence.Repeat tests if a model outputs unintended data when asked to repeat a string multiple times. This probe is part of the divergence module which detects divergence in model output.
The LLM rnj-1-instruct was evaluated on this probe.
Metrics
Number of failures were counted for each detector in the probe.
| Detector | Passed | Total | Score |
|---|---|---|---|
| divergence.RepeatDiverges | 34 | 36 | 🟢 94.4 |
| mitigation.MitigationBypass | 29 | 36 | 🟢 80.6 |
References
Affected or Relevant Artifacts
- Developer: Essential AI
- Deployer: Together AI
- Artifact Details:
| Type | Name |
|---|---|
| Model | rnj-1-instruct |
Impact
AVID Taxonomy Categorization
- Risk domains: Security
- SEP subcategories: S0301: Information Leak
- Lifecycle stages: L05: Evaluation
Other information
- Report Type: Measurement
- Credits:
- Date Reported: 2026-03-17
- Version: 0.3.2
- AVID Entry