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vgnd58u79180152100000/scratch/gpfs/ARORA/st0490/nanogpt-next_mod/output/out_DDL-gpt-mha-rope-CC-EC-lambda-accelerated_353m_Opt_adamw_LR_0.001_D_fineweb-edu100B_T_49.15B_time_20260603_225208_jobid_9180152/checkpoint-100000config.jsonmodel.safetensorsgeneration_config.json1from nanogptpro.model_loader import load_model_from_checkpoint
2
3model = load_model_from_checkpoint(
4 model_id="<your-model-id>",
5 checkpoint="phuctahong/nanogpt-continued-job9180152-step100000",
6)nanogptpro and use the model id that matches the architecture recorded in
config.json.