I'm not sure if these ARC scores here are fully comparable to those in scaling, but if they are: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboar

I'm not sure if these ARC scores here are fully comparable to those in scaling, but if they are: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderb... TigerResearch/tigerbot-70b-chat: ARC (76.79) Still below 3.5 and like most top entries no clear training objectives, which usually means they were fine-tuned on the benchmark itself. - ARC is easily the most important benchmark right now for widespread adoption of LLMs by laypeople: it's literal grade school multiple choice, created to the bar of an 8th grader. When you sit people down in front of an LLM and have them interact with it: ARC has by far the closest correlation of how "generally smart" the model will feel.