Download nano/plan.json from LLKLL/DecoupAttn-plans: direct link, hf CLI and curl.
- Browser
- Download file 3.26 kB
-
https://huggingface.co/datasets/LLKLL/DecoupAttn-plans/resolve/main/nano/plan.json
- Command line
-
hf download hf://datasets/LLKLL/DecoupAttn-plans/nano/plan.json
-
curl -L -o plan.json https://huggingface.co/datasets/LLKLL/DecoupAttn-plans/resolve/main/nano/plan.json
3.26 kB
| { | |
| "model": "nano", | |
| "config": "v3c3p_ours.npz", | |
| "mtag": "decoup_v3c3p_ours_C880_b1_ds1_dl1_cp-wlpisa", | |
| "tile": "4x4x8", | |
| "R4a": "reassign", | |
| "stale_wl": 2.856379286314566, | |
| "S_max": 0.0, | |
| "gate": "dense", | |
| "target_exec_density": 0.2, | |
| "rows": [ | |
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| "option_hist": { | |
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| "CO": 1490 | |
| }, | |
| "pred_sum_J_e": 313718.5661978213, | |
| "J_source": "J_s1000.jsonl (injection, 2 clips, 4 step groups x 3 layer thirds; Jhat = (MSE - floor) / sum w E(S20, WL) on the D-table errcal; CV 2.27)", | |
| "errcal_files": [ | |
| "train_00_s1000.npz", | |
| "train_01_s1000.npz", | |
| "train_02_s1000.npz", | |
| "train_03_s1000.npz" | |
| ], | |
| "cost_model": "none (no v2 time model for this model)", | |
| "pred_ms": null, | |
| "pred_x_vs_dense": null, | |
| "solver": { | |
| "mu": 88.43733746577264, | |
| "fill_moves": 2 | |
| }, | |
| "C": 880, | |
| "km_iters": 10, | |
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| ] | |
| } |