Instructions to use chaoliangUNSW/Jev-Style-Cascade-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- jev-style
How to use chaoliangUNSW/Jev-Style-Cascade-9B with jev-style:
pip install "jev-style[torch]"
from jev_style import JevStyle, noul, choice js = JevStyle.from_pretrained("chaoliangUNSW/Jev-Style-Cascade-9B") out = js.decide("I was charged twice for one order.", { "billing": noul("This message is about billing."), "team": choice("Which team should handle it?", ["billing", "shipping", "tech"]), }) print(out["answers"]["team"]["choice"]) - Notebooks
- Google Colab
- Kaggle
Jev-Style-Cascade-9B: frozen cascade (Jev-Style-2B-Decision-v3 -> JevK5-9B), calibration record and evaluation
8c09135 verified Download validation/freeze_result.json from chaoliangUNSW/Jev-Style-Cascade-9B: direct link, hf CLI and curl.
- Browser
- Download file 3.22 kB
-
https://huggingface.co/chaoliangUNSW/Jev-Style-Cascade-9B/resolve/main/validation/freeze_result.json
- Command line
-
hf download hf://chaoliangUNSW/Jev-Style-Cascade-9B/validation/freeze_result.json
-
curl -L -o freeze_result.json https://huggingface.co/chaoliangUNSW/Jev-Style-Cascade-9B/resolve/main/validation/freeze_result.json
3.22 kB
| { | |
| "calibration_sha256": "580962e4b2bc86b32b42731eda42536f57321c7d1ca9ac1e3b970bf7dbd7e2d2", | |
| "questions": 4992, | |
| "requests": 3758, | |
| "predeclaration_sha256": "e427a671bbe6cc3a07c3c1819125f7169b6d547fc37d067f5f3ccff77ad4e0a6", | |
| "singles": { | |
| "0.8b-v3_bfloat16": { | |
| "accuracy": 0.578926282051282, | |
| "answered": 1.0, | |
| "median_ms_warm": 46.29, | |
| "median_ms_first_pass": 45.727 | |
| }, | |
| "0.8b-v3_float32": { | |
| "accuracy": 0.5791266025641025, | |
| "answered": 1.0, | |
| "median_ms_warm": 42.731, | |
| "median_ms_first_pass": 42.648 | |
| }, | |
| "0.8b-v3_graph": { | |
| "accuracy": 0.5791266025641025, | |
| "answered": 1.0, | |
| "median_ms_warm": 11.41, | |
| "median_ms_first_pass": 11.373 | |
| }, | |
| "2b-v3_bfloat16": { | |
| "accuracy": 0.6606570512820513, | |
| "answered": 1.0, | |
| "median_ms_warm": 92.962, | |
| "median_ms_first_pass": 93.484 | |
| }, | |
| "2b-v3_float32": { | |
| "accuracy": 0.6618589743589743, | |
| "answered": 1.0, | |
| "median_ms_warm": 89.962, | |
| "median_ms_first_pass": 89.226 | |
| }, | |
| "2b-v3_graph": { | |
| "accuracy": 0.6618589743589743, | |
| "answered": 1.0, | |
| "median_ms_warm": 13.97, | |
| "median_ms_first_pass": 13.958 | |
| }, | |
| "jevk5_9b": { | |
| "accuracy": 0.7409855769230769, | |
| "answered": 1.0, | |
| "median_ms_warm": 28.779, | |
| "median_ms_first_pass": 28.754 | |
| } | |
| }, | |
| "path_0.8b-v3": { | |
| "median_ms_float32": 42.731, | |
| "bfloat16": { | |
| "flips": 32, | |
| "flip_rate": 0.00641, | |
| "median_ms": 46.29, | |
| "usable": false | |
| }, | |
| "graph": { | |
| "flips": 0, | |
| "flip_rate": 0.0, | |
| "median_ms": 11.41, | |
| "usable": true | |
| }, | |
| "chosen": "graph" | |
| }, | |
| "path_2b-v3": { | |
| "median_ms_float32": 89.962, | |
| "bfloat16": { | |
| "flips": 38, | |
| "flip_rate": 0.00761, | |
| "median_ms": 92.962, | |
| "usable": false | |
| }, | |
| "graph": { | |
| "flips": 0, | |
| "flip_rate": 0.0, | |
| "median_ms": 13.97, | |
| "usable": true | |
| }, | |
| "chosen": "graph" | |
| }, | |
| "speed_gate": { | |
| "2b_median_ms": 13.97, | |
| "jevk5_median_ms": 28.779, | |
| "ratio": 0.4854, | |
| "max_ratio": 0.6, | |
| "pass": true | |
| }, | |
| "jevk5_alone": { | |
| "accuracy": 0.7409855769230769, | |
| "cost_ms": 28.779, | |
| "top_share": 1.0, | |
| "calls_share": [ | |
| 1.0 | |
| ], | |
| "answered_by": [ | |
| 1.0 | |
| ] | |
| }, | |
| "accuracy_floor": 0.7309855769230769, | |
| "glue2": { | |
| "tiers": [ | |
| "2b-v3_graph", | |
| "jevk5_9b" | |
| ], | |
| "parity_mismatches": 0, | |
| "thresholds": [ | |
| 0.75 | |
| ], | |
| "accuracy": 0.7311698717948718, | |
| "cost_ms": 29.93706093666844, | |
| "top_share": 0.5723157051282052, | |
| "calls_share": [ | |
| 1.0, | |
| 0.5548163916977116 | |
| ], | |
| "answered_by": [ | |
| 0.4276842948717949, | |
| 0.5723157051282052 | |
| ] | |
| }, | |
| "glue3": { | |
| "tiers": [ | |
| "0.8b-v3_graph", | |
| "2b-v3_graph", | |
| "jevk5_9b" | |
| ], | |
| "parity_mismatches": 0, | |
| "thresholds": [ | |
| 0.86, | |
| 0.88 | |
| ], | |
| "accuracy": 0.7311698717948718, | |
| "cost_ms": 39.96178445981906, | |
| "top_share": 0.6444310897435898, | |
| "calls_share": [ | |
| 1.0, | |
| 0.7698243746673763, | |
| 0.6184140500266099 | |
| ], | |
| "answered_by": [ | |
| 0.21314102564102563, | |
| 0.1424278846153846, | |
| 0.6444310897435898 | |
| ] | |
| } | |
| } |