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training checkpoint at step 2000 export for the student model from the GSM8K workflow in this project.1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model_id = "rswaminathan38/llmbench-student-3b-gsm8k-ce-20260414-checkpoint-2000"
4tokenizer = AutoTokenizer.from_pretrained(model_id)
5model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto")vllm serve rswaminathan38/llmbench-student-3b-gsm8k-ce-20260414-checkpoint-2000 --dtype auto0.3583checkpoint-2000meta-llama/Llama-3.2-3Btraining checkpoint at step 2000/storage/ice1/3/3/rswaminathan38/LLM_Bench/LLMOptimization/Model_Optimizations/outputs/hf_student_ce_3b_2026-04-14num_train_epochs: 20per_device_train_batch_size: 2gradient_accumulation_steps: 8learning_rate: 1e-05warmup_ratio: 0.05max_seq_length: 1024alpha: 1.0temperature: 2.0kd_method: fulltop_k: 64hidden_match: Falsehidden_match_weight: 0.05question + "\n\nLet's think step by step.\n".