Instructions to use macmacmacmac/Sev-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use macmacmacmac/Sev-4B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download calibration.json from macmacmacmac/Sev-4B: direct link, hf CLI and curl.
- Browser
- Download file 4.62 kB
-
https://huggingface.co/macmacmacmac/Sev-4B/resolve/main/calibration.json
- Command line
-
hf download hf://macmacmacmac/Sev-4B/calibration.json
-
curl -L -o calibration.json https://huggingface.co/macmacmacmac/Sev-4B/resolve/main/calibration.json
4.62 kB
| { | |
| "temperature": 1.6817928305074288, | |
| "split": "calibration", | |
| "n": 2674, | |
| "records": 1920, | |
| "fit": { | |
| "aggregation": "micro", | |
| "points": 81 | |
| }, | |
| "range": [ | |
| 0.25, | |
| 4.0 | |
| ], | |
| "method": "Minimum question-weighted raw-logit NLL on the registered 81-point grid", | |
| "rows_sha256": "026b68705b7ac76bc4361bc2fda1cbfe74265b436a807ea68bca77f87d3cf9da", | |
| "suite_sha256": "3b9a80dfd212b6932b66ea520c35ab1a3b19e132a81af1b6b7b306d776a70a02", | |
| "partition_sha256": "890c363c5bfe5351600071691eefb47dcf4e2530b31b75d4ce8830bd6381f585", | |
| "raw": { | |
| "n": 2674, | |
| "nll": 0.4725028808328134, | |
| "acc": 0.7860882572924458, | |
| "ece": 0.07626143666496761, | |
| "brier": 0.27460003407338146, | |
| "mean_conf": 0.8621290491523242, | |
| "confident_error_rate": 0.014958863126402393, | |
| "coverage_at_0_9": 0.6484667165295438, | |
| "accuracy_at_0_9": 0.9769319492502884, | |
| "coverage_at_5pct_error": 0.6836200448765893, | |
| "coverage_at_1pct_error": 0.5445026178010471, | |
| "aurc": 0.04976778143359611, | |
| "error_rate_at_0_9": 0.02306805074971165, | |
| "confidence_bias": 0.07604079185987844, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1734, | |
| "errors": 40, | |
| "error_rate": 0.02306805074971165 | |
| }, | |
| "0.95": { | |
| "n": 1681, | |
| "errors": 27, | |
| "error_rate": 0.016061867935752528 | |
| }, | |
| "0.99": { | |
| "n": 1576, | |
| "errors": 18, | |
| "error_rate": 0.011421319796954314 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5336574420344053, | |
| "accuracy": 0.9901892081289418, | |
| "confidence_cutoff": 0.9953955617749282 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8002991772625281, | |
| "accuracy": 0.8700934579439252, | |
| "confidence_cutoff": 0.6415496468544006 | |
| } | |
| }, | |
| "score_mae": 0.2929868856899385, | |
| "ranked_probability_score": 0.051781539475752744 | |
| }, | |
| "calibrated_in_sample": { | |
| "n": 2674, | |
| "nll": 0.43392263388002145, | |
| "acc": 0.7860882572924458, | |
| "ece": 0.03637322481154805, | |
| "brier": 0.25527252174288456, | |
| "mean_conf": 0.8087133880682658, | |
| "confident_error_rate": 0.008227374719521317, | |
| "coverage_at_0_9": 0.6110695587135377, | |
| "accuracy_at_0_9": 0.9865361077111383, | |
| "coverage_at_5pct_error": 0.681376215407629, | |
| "coverage_at_1pct_error": 0.5508601346297681, | |
| "aurc": 0.04945553724105698, | |
| "error_rate_at_0_9": 0.01346389228886169, | |
| "confidence_bias": 0.022625130775819957, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1634, | |
| "errors": 22, | |
| "error_rate": 0.01346389228886169 | |
| }, | |
| "0.95": { | |
| "n": 1216, | |
| "errors": 6, | |
| "error_rate": 0.004934210526315789 | |
| }, | |
| "0.99": { | |
| "n": 849, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5415108451757666, | |
| "accuracy": 0.9903314917127072, | |
| "confidence_cutoff": 0.9486799539412789 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8025430067314884, | |
| "accuracy": 0.869524697110904, | |
| "confidence_cutoff": 0.52766162421842 | |
| } | |
| }, | |
| "score_mae": 0.305269819429472, | |
| "ranked_probability_score": 0.047216708865340906 | |
| }, | |
| "cross_validation": { | |
| "raw": { | |
| "n": 2674, | |
| "ece": 0.07626143666496761, | |
| "brier": 0.27460003407338146, | |
| "nll": 0.4725028808328134, | |
| "confident_error_rate": 0.014958863126402393, | |
| "coverage_at_5pct_error": 0.6836200448765893 | |
| }, | |
| "out_of_fold": { | |
| "n": 2674, | |
| "ece": 0.03385822665024142, | |
| "brier": 0.25613476719854117, | |
| "nll": 0.4366331749349656, | |
| "confident_error_rate": 0.008601346297681375, | |
| "coverage_at_5pct_error": 0.6787584143605087 | |
| }, | |
| "ece_ci95": { | |
| "raw": [ | |
| 0.04594906201817091, | |
| 0.12662647548801886 | |
| ], | |
| "out_of_fold": [ | |
| 0.02123422426875222, | |
| 0.07282022929885298 | |
| ], | |
| "delta": [ | |
| -0.0632669637757567, | |
| -0.014968453240614701 | |
| ] | |
| }, | |
| "separated": true, | |
| "temperatures": [ | |
| 1.5691681957935013, | |
| 1.6817928305074288, | |
| 1.741101126592248, | |
| 1.8025009252216602, | |
| 1.6245047927124707 | |
| ], | |
| "folds": 5, | |
| "seed": 20260927, | |
| "samples": 1000, | |
| "groups": 465, | |
| "unit": "source-stratified (source, group); sibling questions and variants stay together" | |
| }, | |
| "cv_grouping": "Exact group IDs across source families; one constant source stratum", | |
| "development_used_for_fit": false, | |
| "test_read": false, | |
| "note": "CV is a diagnostic within calibration data, not fresh field validation. The shipped value is the full calibration fit." | |
| } | |