Download matrixformer/artifacts.json from Tabimpute/TabImpute: direct link, hf CLI and curl.
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- Download file 1.87 kB
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https://huggingface.co/Tabimpute/TabImpute/resolve/main/matrixformer/artifacts.json
- Command line
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hf download hf://Tabimpute/TabImpute/matrixformer/artifacts.json
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curl -L -o artifacts.json https://huggingface.co/Tabimpute/TabImpute/resolve/main/matrixformer/artifacts.json
1.87 kB
| { | |
| "schema_version": 1, | |
| "repo_id": "Tabimpute/TabImpute", | |
| "source_repository": "https://github.com/jacobf18/tabular", | |
| "source_revision": "2cf54ac47dbcc1154b35e875b527ed0c42a9f416", | |
| "model_family": "new_stable", | |
| "architecture": "Dwip v2-2", | |
| "parameters_per_expert": 77998496, | |
| "training_data": "Synthetic matrices only; no neural network training on real benchmark data", | |
| "experts": { | |
| "impute": { | |
| "name": "MatrixFormer-Impute", | |
| "checkpoint": "matrixformer/impute/best_validation_checkpoint.pth", | |
| "checkpoint_bytes": 312100611, | |
| "checkpoint_sha256": "c0ddf75274c8ff92ca5fd22c1263369ffa7e55eb7cb85fe80961b0afa101f7a9", | |
| "config": "matrixformer/impute/config.json", | |
| "config_sha256": "6981d286ef02b2c9261a8433ffb46a48a7fc68c65838e16895c6ad5888e7b07b", | |
| "original_run": "mcpfn/runs/streamed_training/large_matrices_98k_20260930" | |
| }, | |
| "recsys": { | |
| "name": "Recommender specialist", | |
| "checkpoint": "matrixformer/recsys/best_validation_checkpoint.pth", | |
| "checkpoint_bytes": 312096259, | |
| "checkpoint_sha256": "1fcadc0c5846f9c35fbbae4e3b519b9244b608272cb1eda68c0850132321f770", | |
| "config": "matrixformer/recsys/config.json", | |
| "config_sha256": "b9201e53abbb6f6c7cc1e1699d4fe8fead48208f28a979c32e46f40431a9f6be", | |
| "original_run": "mcpfn/runs/recsys_goal_20260920/synthetic_user_scaled_parent_risk_400" | |
| } | |
| }, | |
| "inference": { | |
| "prediction_stat": "mean", | |
| "precision_mode": "amp_bfloat16", | |
| "matrixformer_plus_policy": "observed_blend", | |
| "example_normalization": "column", | |
| "example_max_num_rows": 2000, | |
| "example_max_num_cols": 1000, | |
| "note": "The example is a generic matrix-completion recipe. Benchmark-specific normalization, clipping, orientation and context limits are documented in the source repository. MatrixFormer+ has no separate checkpoint." | |
| } | |
| } | |