AmberJar/CodeFlow-HumanML3D

CodeFlow HumanML3D

Public HumanML3D checkpoint bundle for Part-Structured CodeFlow (PS-CF).

Contents

• codeflow/codeflow_hml3d_best_top3_ema.pt: inference-only EMA checkpoint exported from the HumanML3D best-Top3 CodeFlow run.
• rvq/part_vq_hml3d_overlap_best_top3.pth: frozen part-aware RVQ tokenizer checkpoint used by CodeFlow.
• rvq/skeleton_partition.json: six-part overlap partition for the RVQ tokenizer.
• stats/mean.npy, stats/std.npy: HumanML3D normalization statistics used by the RVQ tokenizer.
• metadata/codeflow_options.json: sanitized training/options metadata.
• metadata/best_metrics.json: training-time full-eval best checkpoint record.
• metadata/rvq_metrics.md: RVQ training-time metrics summary.

Released CodeFlow Checkpoint

Selector: training-time full-eval best Top3 on HumanML3D test.

• epoch: 290
• step: 111070
• Top3: 0.873060344828
• FID: 0.058189920627
• architecture: part-structured CodeFlow, part_hidden_dim=192, hidden_size=1152, depth_double=6, depth_single=12, dropout=0.05
• evaluation setting: test split, 96 ODE steps, CFG=6.0, EMA weights, seed 42

Notes

This release does not include HumanML3D data, CLIP weights, GloVe, evaluator checkpoints, KIT checkpoints, or optimizer/scaler training states. Use the GitHub repository instructions for inference and evaluation commands.