Instructions to use apus-ailab/APUS-OpenJev-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apus-ailab/APUS-OpenJev-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apus-ailab/APUS-OpenJev-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 9B-5949/evaluation/runtime-smoke.json from apus-ailab/APUS-OpenJev-v1: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/main/9B-5949/evaluation/runtime-smoke.json
- Command line
-
hf download hf://apus-ailab/APUS-OpenJev-v1/9B-5949/evaluation/runtime-smoke.json
-
curl -L -o runtime-smoke.json https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/main/9B-5949/evaluation/runtime-smoke.json
4.92 kB
| { | |
| "status": "passed", | |
| "runtime_sha256": { | |
| "openjet_runtime/__init__.py": "df6eb864cf6d0c2f512fb00f17eeaa11fd790afca33a0f7b2f609aeb1f2b3944", | |
| "openjet_runtime/runtime.py": "6e7b0b131cb14ab0d25cc8fd6c7fc41738b799cfe6de1ccdbae2d09d7c64313c", | |
| "openjet_runtime/early_exit.py": "89b7751a927a6d1348a454fb8ee986395423ad5686d855fb3ccab255c95d2566", | |
| "openjet_runtime/contracts.py": "d8e8e5270ecd6dab917d886dda2d684c24696b811faa968bb3c399ceef5e356a", | |
| "openjet_runtime/candidate_projection.py": "84dc4746b5fb06ac6a9024dde3ba8414d901acf2a62d010b0d66f26acfaf74a6" | |
| }, | |
| "decisions": 160, | |
| "max_probability_delta": 0.0, | |
| "no_jev_import": true, | |
| "long_input_rejected": true, | |
| "invalid_effort_rejected": true, | |
| "synthetic_examples": [ | |
| { | |
| "id": "example-binary", | |
| "type": "choice", | |
| "probabilities": { | |
| "close": 0.9989758729934692, | |
| "refund": 0.0010242064017802477 | |
| }, | |
| "choice": "close", | |
| "effort": "low", | |
| "executed_layers": 16, | |
| "prompt_tokens": 103, | |
| "logits": [ | |
| 8.3125, | |
| 1.4296875 | |
| ], | |
| "projection": "candidate_rows", | |
| "calibrated": false | |
| }, | |
| { | |
| "id": "example-binary", | |
| "type": "choice", | |
| "probabilities": { | |
| "close": 0.999595582485199, | |
| "refund": 0.00040448151412419975 | |
| }, | |
| "choice": "close", | |
| "effort": "high", | |
| "executed_layers": 32, | |
| "prompt_tokens": 103, | |
| "logits": [ | |
| 20.75, | |
| 12.9375 | |
| ], | |
| "projection": "full_head", | |
| "calibrated": false | |
| }, | |
| { | |
| "id": "example-browser", | |
| "type": "choice", | |
| "probabilities": { | |
| "click-1": 0.008737827651202679, | |
| "click-2": 0.007027901243418455, | |
| "click-3": 0.05052885040640831, | |
| "click-4": 0.019029337912797928, | |
| "click-5": 0.007159519474953413, | |
| "click-6": 0.0369676910340786, | |
| "click-7": 0.013652882538735867, | |
| "click-8": 0.029937351122498512, | |
| "click-9": 0.02662683092057705, | |
| "click-10": 0.022775137796998024, | |
| "click-11": 0.04028511047363281, | |
| "click-12": 0.1352221965789795, | |
| "click-13": 0.08868088573217392, | |
| "click-14": 0.19369687139987946, | |
| "click-15": 0.03784435614943504, | |
| "click-16": 0.28182727098464966 | |
| }, | |
| "choice": "click-16", | |
| "effort": "low", | |
| "executed_layers": 16, | |
| "prompt_tokens": 383, | |
| "logits": [ | |
| 0.1201171875, | |
| -0.09765625, | |
| 1.875, | |
| 0.8984375, | |
| -0.0791015625, | |
| 1.5625, | |
| 0.56640625, | |
| 1.3515625, | |
| 1.234375, | |
| 1.078125, | |
| 1.6484375, | |
| 2.859375, | |
| 2.4375, | |
| 3.21875, | |
| 1.5859375, | |
| 3.59375 | |
| ], | |
| "projection": "candidate_rows", | |
| "calibrated": false | |
| }, | |
| { | |
| "id": "example-browser", | |
| "type": "choice", | |
| "probabilities": { | |
| "click-1": 3.5321256291354075e-05, | |
| "click-2": 2.0125446098973043e-05, | |
| "click-3": 1.1467132935649715e-05, | |
| "click-4": 1.6684580259607174e-05, | |
| "click-5": 1.1467132935649715e-05, | |
| "click-6": 1.2206699466332793e-05, | |
| "click-7": 8.38953292259248e-06, | |
| "click-8": 2.1423424186650664e-05, | |
| "click-9": 0.00019094489107374102, | |
| "click-10": 2.75082238658797e-05, | |
| "click-11": 0.0005190420779399574, | |
| "click-12": 0.9989749193191528, | |
| "click-13": 6.199072959134355e-05, | |
| "click-14": 1.8906104742200114e-05, | |
| "click-15": 1.1467132935649715e-05, | |
| "click-16": 5.823490573675372e-05 | |
| }, | |
| "choice": "click-12", | |
| "effort": "high", | |
| "executed_layers": 32, | |
| "prompt_tokens": 383, | |
| "logits": [ | |
| 11.125, | |
| 10.5625, | |
| 10.0, | |
| 10.375, | |
| 10.0, | |
| 10.0625, | |
| 9.6875, | |
| 10.625, | |
| 12.8125, | |
| 10.875, | |
| 13.8125, | |
| 21.375, | |
| 11.6875, | |
| 10.5, | |
| 10.0, | |
| 11.625 | |
| ], | |
| "projection": "full_head", | |
| "calibrated": false | |
| } | |
| ], | |
| "text_smoke": { | |
| "low": { | |
| "text": "<think>nesssss\u5730\u4e2d\u56fd\u5bb6\u5730...\u2026s\u6d0b\u65b0\u65b0\u53f8\u4ebatral", | |
| "token_ids": [ | |
| 248068, | |
| 2022, | |
| 82, | |
| 753, | |
| 95852, | |
| 106947, | |
| 95852, | |
| 1076, | |
| 1873, | |
| 82, | |
| 97648, | |
| 95882, | |
| 95882, | |
| 95958, | |
| 95765, | |
| 175762 | |
| ], | |
| "effort": "low", | |
| "executed_layers_per_token": 16, | |
| "finish_reason": "length", | |
| "prompt_tokens": 28 | |
| }, | |
| "high": { | |
| "text": "red shoes\n", | |
| "token_ids": [ | |
| 1114, | |
| 14850, | |
| 248046, | |
| 198, | |
| 248044 | |
| ], | |
| "effort": "high", | |
| "executed_layers_per_token": 32, | |
| "finish_reason": "eos", | |
| "prompt_tokens": 28 | |
| } | |
| }, | |
| "text_scope": "Execution smoke only; not TYPE accuracy or speed validation" | |
| } | |