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1from transformers import AutoModelForCausalLM
2
3adapter_id = "uwuwuwuwuwuwu/kimi-k2.5-reward-hacking-step-0"
4base_model = "moonshotai/Kimi-K2-Thinking"
5
6model = AutoModelForCausalLM.from_pretrained(adapter_id, device_map="auto")tinker://3d10c12f-6551-5538-8817-56fcb7c45099:train:0/sampler_weights/base_untrained