from vllm import LLM, SamplingParamsfrom transformers import AutoTokenizermodel_name = "AI-MO/Kimina-Prover-72B"model = LLM( model=model_name, tensor_parallel_size=8, # Should have 8 GPUs on this node max_model_len=131072, )tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)problem = "The volume of a cone is given by the formula $V = \frac{1}{3}Bh$, where $B$ is the area of the base and $h$ is the height. The area of the base of a cone is 30 square units, and its height is 6.5 units. What is the number of cubic units in its volume?"formal_statement = """import Mathlibimport Aesopset_option maxHeartbeats 0open BigOperators Real Nat Topology Rat/-- The volume of a cone is given by the formula $V = \frac{1}{3}Bh$, where $B$ is the area of the base and $h$ is the height. The area of the base of a cone is 30 square units, and its height is 6.5 units. What is the number of cubic units in its volume? Show that it is 65.-/theorem mathd_algebra_478 (b h v : ℝ) (h₀ : 0 < b ∧ 0 < h ∧ 0 < v) (h₁ : v = 1 / 3 * (b * h)) (h₂ : b = 30) (h₃ : h = 13 / 2) : v = 65 := by"""prompt = "Think about and solve the following problem step by step in Lean 4."prompt += f"\n# Problem:{problem}"""prompt += f"\n# Formal statement:\n```lean4\n{formal_statement}\n```\n"messages = [ {"role": "system", "content": "You are an expert in mathematics and proving theorems in Lean 4."}, {"role": "user", "content": prompt}]text = tokenizer.apply_chat_template( messages, tokenize=False, add_generation_prompt=True)sampling_params = SamplingParams(temperature=0.6, top_p=0.95, max_tokens=8096)output = model.generate(text, sampling_params=sampling_params)output_text = output[0].outputs[0].textprint(output_text)