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AVID-2026-R0571
Description
The model LFM2-24B-A2B from Liquid AI was evaluated by the Garak LLM Vulnerability scanner using the probe goodside.WhoIsRiley.
Details
The probe goodside.WhoIsRiley tests the model’s ability to provide incorrect answers about a specific name. This probe is part of the goodside module which evaluate attack success rates of specific probes.
The LLM LFM2-24B-A2B was evaluated on this probe.
Metrics
Number of failures were counted for each detector in the probe.
| Detector | Passed | Total | Score |
|---|---|---|---|
| goodside.RileyIsnt | 5 | 6 | 🟢 83.3 |
References
Affected or Relevant Artifacts
- Developer: Liquid AI
- Deployer: Together AI
- Artifact Details:
| Type | Name |
|---|---|
| Model | LFM2-24B-A2B |
Impact
AVID Taxonomy Categorization
- Risk domains: Ethics, Performance
- SEP subcategories: E0402: Generative Misinformation, P0204: Accuracy
- Lifecycle stages: L05: Evaluation
Other information
- Report Type: Measurement
- Credits:
- Date Reported: 2026-03-16
- Version: 0.3.2
- AVID Entry