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LLM Stats
Nexus
NexusRaven benchmark for evaluating function calling capabilities of large language models in zero-shot scenarios across cybersecurity tools and API interactions
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 4
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Llama 3.1 405B Instruct | 0.587 | Not recorded | Not recorded | 2024-07-23 · model_announcement | LLM Stats |
| Llama 3.1 70B Instruct | 0.567 | Not recorded | Not recorded | 2024-07-23 · model_announcement | LLM Stats |
| Llama 3.1 8B Instruct | 0.385 | Not recorded | Not recorded | 2024-07-23 · model_announcement | LLM Stats |
| Llama 3.2 3B Instruct | 0.343 | Not recorded | Not recorded | 2024-09-25 · model_announcement | LLM Stats |