| { | |
| "module_name": "frandi_compressor", | |
| "class_name": "FRanDICompressor", | |
| "category": "compression", | |
| "family": "compression", | |
| "params": [ | |
| "in_features", | |
| "out_features", | |
| "rank", | |
| "bias", | |
| "dtype", | |
| "device", | |
| "model", | |
| "energy_threshold", | |
| "calibration_loader", | |
| "cfg", | |
| "target_layers" | |
| ], | |
| "ops": [ | |
| "reshape", | |
| "linear", | |
| "view" | |
| ], | |
| "docstring": "FRanDI (Feature-Regression aligned SVD) Compressor.\nCompresses linear layers using singular value decomposition with optional\nactivation alignment and adaptive energy-preservation thresholding.\n\nArgs:\n model: Model to compress.\n rank: Target rank when energy_threshold is None.\n energy_threshold: Energy ratio threshold (0 < energy_threshold <= 1.0).\n calibration_loader: Optional DataLoader for calibration statistics.\n cfg: Optional configuration object.\n target_layers: Optional target layer filter.", | |
| "rank": 32, | |
| "d_state": 1, | |
| "num_experts": 1, | |
| "top_k": 1, | |
| "sparsity_pct": 0.0, | |
| "bits": 4, | |
| "hash_val": 45561839979659658853908864236249565620 | |
| } |
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