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AVID-2026-R0442
Description
The model rnj-1-instruct from Essential AI was evaluated by the Garak LLM Vulnerability scanner using the probe tap.TAPCached.
Details
The probe tap.TAPCached tests the effectiveness of pre-computed prompts to jailbreak LLMs without additional model evaluations. This probe is part of the tap module which utilizes cached prompts for automated jailbreaks.
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 |
|---|---|---|---|
| mitigation.MitigationBypass | 4 | 9 | 🟡 44.4 |
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, Performance
- SEP subcategories: S0403: Adversarial Example, P0204: Accuracy
- Lifecycle stages: L05: Evaluation
Other information
- Report Type: Measurement
- Credits:
- Date Reported: 2026-03-17
- Version: 0.3.2
- AVID Entry