Meta: LlamaGuard 2 8B

Meta's LlamaGuard 2 8B, a safeguard model based on the Llama 3 family, demonstrates exceptional speed and cost-effectiveness. It consistently ranks among the fastest models across seven benchmarks and offers highly competitive pricing across six benchmarks. Designed for prompt and response classification, it generates text indicating safety and violated content categories. However, the benchmark results indicate that LlamaGuard 2 8B is not intended for general-purpose generative tasks. It achieved 0.0% accuracy across Hallucinations, Ethics, Mathematics, Instruction Following, Reasoning, and Coding benchmarks. Its performance in Email Classification was also very low at 2.0% accuracy. This suggests that the model's architecture and training are highly specialized for its intended safety classification role, rather than for tasks requiring factual recall, complex reasoning, or content generation. Its strength lies purely in its designated function as a content moderation tool, where its speed and cost efficiency would be significant advantages.