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THU-SIGS-EILAB/coeva_cycle1_acopd_80
coeva_cycle1_acopd_80 is a machine learning model from THU-SIGS-EILAB. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Inference-ready export of the no-ZV student trained with the Z/V-prior teacher.
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Updated Sep 14, 2026
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From the Hugging Face model README
Inference-ready export of the no-ZV student trained with the Z/V-prior teacher.
Contents:
actor/model_state_dict/full_weights.pt: step-80 full model weights.physical-intelligence/libero/norm_stats.json: required LIBERO action normalization statistics.rlinf_model_config.yaml: Pi0.5 model configuration.training_config.yaml: frozen configuration used for this AC-OPD run.Source checkpoint:
logs/20260913-23:06:51-libero_10_ac_opd_pi05_zv_teacher_nozv_student_4gpu/cycle_00_acopd_zv_teacher_nozv_student/checkpoints/global_step_80.
This export intentionally excludes actor/dcp_checkpoint/, which is only
needed to resume distributed training; full_weights.pt is the inference and
standalone-evaluation checkpoint.