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:
# pip install -U transformers accelerate # 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-3000/evaluation/runtime-smoke.json from apus-ailab/APUS-OpenJev-v1: direct link, hf CLI and curl.
- Browser
- Download file 4.91 kB
-
https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/main/9B-3000/evaluation/runtime-smoke.json
- Command line
-
hf download hf://apus-ailab/APUS-OpenJev-v1/9B-3000/evaluation/runtime-smoke.json
-
curl -L -o runtime-smoke.json https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/main/9B-3000/evaluation/runtime-smoke.json
4.91 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": 0.9984512329101562, | |
| "refund": 0.0015487611526623368 | |
| }, | |
| "choice": "close", | |
| "effort": "low", | |
| "executed_layers": 16, | |
| "prompt_tokens": 103, | |
| "logits": [ | |
| 7.8125, | |
| 1.34375 | |
| ], | |
| "projection": "candidate_rows", | |
| "calibrated": false | |
| }, | |
| { | |
| "id": "example-binary", | |
| "type": "choice", | |
| "probabilities": { | |
| "close": 0.999480664730072, | |
| "refund": 0.0005193048273213208 | |
| }, | |
| "choice": "close", | |
| "effort": "high", | |
| "executed_layers": 32, | |
| "prompt_tokens": 103, | |
| "logits": [ | |
| 20.75, | |
| 13.1875 | |
| ], | |
| "projection": "full_head", | |
| "calibrated": false | |
| }, | |
| { | |
| "id": "example-browser", | |
| "type": "choice", | |
| "probabilities": { | |
| "click-1": 0.0071670678444206715, | |
| "click-2": 0.0058954693377017975, | |
| "click-3": 0.07841967791318893, | |
| "click-4": 0.02626730129122734, | |
| "click-5": 0.012456356547772884, | |
| "click-6": 0.05142887309193611, | |
| "click-7": 0.032435785979032516, | |
| "click-8": 0.02796139568090439, | |
| "click-9": 0.031437840312719345, | |
| "click-10": 0.031437840312719345, | |
| "click-11": 0.08090898394584656, | |
| "click-12": 0.11409995704889297, | |
| "click-13": 0.10887493193149567, | |
| "click-14": 0.17128431797027588, | |
| "click-15": 0.05648357421159744, | |
| "click-16": 0.16344064474105835 | |
| }, | |
| "choice": "click-14", | |
| "effort": "low", | |
| "executed_layers": 16, | |
| "prompt_tokens": 383, | |
| "logits": [ | |
| -0.158203125, | |
| -0.353515625, | |
| 2.234375, | |
| 1.140625, | |
| 0.39453125, | |
| 1.8125, | |
| 1.3515625, | |
| 1.203125, | |
| 1.3203125, | |
| 1.3203125, | |
| 2.265625, | |
| 2.609375, | |
| 2.5625, | |
| 3.015625, | |
| 1.90625, | |
| 2.96875 | |
| ], | |
| "projection": "candidate_rows", | |
| "calibrated": false | |
| }, | |
| { | |
| "id": "example-browser", | |
| "type": "choice", | |
| "probabilities": { | |
| "click-1": 0.0001901919167721644, | |
| "click-2": 0.00011535723751876503, | |
| "click-3": 0.00012279713700991124, | |
| "click-4": 0.0001901919167721644, | |
| "click-5": 9.563451021676883e-05, | |
| "click-6": 8.984030864667147e-05, | |
| "click-7": 5.4490898037329316e-05, | |
| "click-8": 0.0001391473924741149, | |
| "click-9": 0.0005503385909833014, | |
| "click-10": 0.0001391473924741149, | |
| "click-11": 0.0024664464872330427, | |
| "click-12": 0.9950355291366577, | |
| "click-13": 0.00033379721571691334, | |
| "click-14": 0.00017866877897176892, | |
| "click-15": 0.00010836809815373272, | |
| "click-16": 0.0001901919167721644 | |
| }, | |
| "choice": "click-12", | |
| "effort": "high", | |
| "executed_layers": 32, | |
| "prompt_tokens": 383, | |
| "logits": [ | |
| 12.4375, | |
| 11.9375, | |
| 12.0, | |
| 12.4375, | |
| 11.75, | |
| 11.6875, | |
| 11.1875, | |
| 12.125, | |
| 13.5, | |
| 12.125, | |
| 15.0, | |
| 21.0, | |
| 13.0, | |
| 12.375, | |
| 11.875, | |
| 12.4375 | |
| ], | |
| "projection": "full_head", | |
| "calibrated": false | |
| } | |
| ], | |
| "text_smoke": { | |
| "low": { | |
| "text": "<think>nesssss\u5730\u4e2d\u56fd\u5bb6\u5730...\u2026sX\u5d07\u5cf0\u5cf0...\u2026", | |
| "token_ids": [ | |
| 248068, | |
| 2022, | |
| 82, | |
| 753, | |
| 95852, | |
| 106947, | |
| 95852, | |
| 1076, | |
| 1873, | |
| 82, | |
| 55, | |
| 98390, | |
| 97462, | |
| 97462, | |
| 1076, | |
| 1873 | |
| ], | |
| "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" | |
| } | |