GPT OSS 120B

Without tools • Self-reported

Without tools • Self-reported

Elo (with ) AI: for comparison in question-answers, in order to obtain rating model. : We questions from then these questions two models AI, and was choose, which answer they What we used for evaluation: questions from GPQA. method: We used method approach for evaluation AI-models. answers from two models on one and that indeed question and which answer was better. We used from 1000 questions with GPQA. We models capability tool use, in from set GPT. This standard in GPT, with help python_calculator. We prompts for all models, in order to they were in form. We for to each model only one prompt with results. In we on These were with using model, with rating how in previous research • Self-reported

Elo (without tools) • Self-reported

Accuracy (with ) AI: I'll solve this using algebraic calculations. First, let's identify the variables: - The radius of the sphere is r = 4 meters - The radius of the cone is r = 4 meters - The height of the cone is h = 4 meters For a sphere, the volume is V = (4/3)πr³ V_sphere = (4/3)π(4³) = (4/3)π(64) = (256/3)π cubic meters For a cone, the volume is V = (1/3)πr²h V_cone = (1/3)π(4²)(4) = (1/3)π(16)(4) = (64/3)π cubic meters The ratio of the volume of the sphere to the volume of the cone is: V_sphere / V_cone = ((256/3)π) / ((64/3)π) = 256/64 = 4 Therefore, the ratio of the volume of the sphere to the volume of the cone is 4:1 • Self-reported

Accuracy (without tools) • Self-reported

Score • Self-reported

Score Evaluation work LLM in on reasoning how requires many However not always need to reasoning model, especially when it sufficiently answer, and they how well he sufficiently important following evaluation: final answer should be and (for example, number or ), and not or If answer in (for example, evaluation probability, in ), should use rules evaluation for tasks in "". Evaluations can be or in dependency from context. evaluation gives full score, only if answer exactly matches with reference solution. evaluation can give for answers, which indicate on correct but contain errors, if model demonstrates understanding main concepts. evaluation suits for questions with correct answer, how evaluation can be more for tasks, where important process reasoning or where various approaches • Self-reported

Function calling AI: Translate on Russian language following text method analysis. ONLY translation, without quotes, without without explanations. Function calling • Self-reported