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 4B-5949/evaluation/runtime-smoke.json from apus-ailab/APUS-OpenJev-v1: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/main/4B-5949/evaluation/runtime-smoke.json
- Command line
-
hf download hf://apus-ailab/APUS-OpenJev-v1/4B-5949/evaluation/runtime-smoke.json
-
curl -L -o runtime-smoke.json https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/main/4B-5949/evaluation/runtime-smoke.json
4.86 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": 0.9961305856704712, | |
| "refund": 0.0038693908136337996 | |
| }, | |
| "choice": "close", | |
| "effort": "low", | |
| "executed_layers": 16, | |
| "prompt_tokens": 103, | |
| "logits": [ | |
| 5.09375, | |
| -0.45703125 | |
| ], | |
| "projection": "candidate_rows", | |
| "calibrated": false | |
| }, | |
| { | |
| "id": "example-binary", | |
| "type": "choice", | |
| "probabilities": { | |
| "close": 0.9996199607849121, | |
| "refund": 0.0003799845289904624 | |
| }, | |
| "choice": "close", | |
| "effort": "high", | |
| "executed_layers": 32, | |
| "prompt_tokens": 103, | |
| "logits": [ | |
| 20.375, | |
| 12.5 | |
| ], | |
| "projection": "full_head", | |
| "calibrated": false | |
| }, | |
| { | |
| "id": "example-browser", | |
| "type": "choice", | |
| "probabilities": { | |
| "click-1": 0.06669197976589203, | |
| "click-2": 0.016471756622195244, | |
| "click-3": 0.03487071022391319, | |
| "click-4": 0.06072373315691948, | |
| "click-5": 0.025511953979730606, | |
| "click-6": 0.03125790134072304, | |
| "click-7": 0.0377042256295681, | |
| "click-8": 0.05234713479876518, | |
| "click-9": 0.07498379796743393, | |
| "click-10": 0.027584997937083244, | |
| "click-11": 0.04879289120435715, | |
| "click-12": 0.042062100023031235, | |
| "click-13": 0.14767390489578247, | |
| "click-14": 0.10910079628229141, | |
| "click-15": 0.08630583435297012, | |
| "click-16": 0.13791632652282715 | |
| }, | |
| "choice": "click-13", | |
| "effort": "low", | |
| "executed_layers": 16, | |
| "prompt_tokens": 383, | |
| "logits": [ | |
| -1.1796875, | |
| -2.578125, | |
| -1.828125, | |
| -1.2734375, | |
| -2.140625, | |
| -1.9375, | |
| -1.75, | |
| -1.421875, | |
| -1.0625, | |
| -2.0625, | |
| -1.4921875, | |
| -1.640625, | |
| -0.384765625, | |
| -0.6875, | |
| -0.921875, | |
| -0.453125 | |
| ], | |
| "projection": "candidate_rows", | |
| "calibrated": false | |
| }, | |
| { | |
| "id": "example-browser", | |
| "type": "choice", | |
| "probabilities": { | |
| "click-1": 0.00045352030429057777, | |
| "click-2": 0.00040023025940172374, | |
| "click-3": 0.00017760110495146364, | |
| "click-4": 0.0002142278099199757, | |
| "click-5": 0.0002584080502856523, | |
| "click-6": 0.00024275195028167218, | |
| "click-7": 0.0003532019618432969, | |
| "click-8": 0.0004827698867302388, | |
| "click-9": 0.0013123045209795237, | |
| "click-10": 0.0004827698867302388, | |
| "click-11": 0.0035672136582434177, | |
| "click-12": 0.9890894293785095, | |
| "click-13": 0.0012327961158007383, | |
| "click-14": 0.0007959529175423086, | |
| "click-15": 0.0001890553830889985, | |
| "click-16": 0.0007477285689674318 | |
| }, | |
| "choice": "click-12", | |
| "effort": "high", | |
| "executed_layers": 32, | |
| "prompt_tokens": 383, | |
| "logits": [ | |
| 12.5625, | |
| 12.4375, | |
| 11.625, | |
| 11.8125, | |
| 12.0, | |
| 11.9375, | |
| 12.3125, | |
| 12.625, | |
| 13.625, | |
| 12.625, | |
| 14.625, | |
| 20.25, | |
| 13.5625, | |
| 13.125, | |
| 11.6875, | |
| 13.0625 | |
| ], | |
| "projection": "full_head", | |
| "calibrated": false | |
| } | |
| ], | |
| "text_smoke": { | |
| "low": { | |
| "text": "\u4f60\u597d / / / / ...etc\u4e4e--SsN [sS", | |
| "token_ids": [ | |
| 109266, | |
| 593, | |
| 593, | |
| 593, | |
| 593, | |
| 2423, | |
| 11763, | |
| 97091, | |
| 12, | |
| 12, | |
| 50, | |
| 82, | |
| 45, | |
| 498, | |
| 82, | |
| 50 | |
| ], | |
| "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" | |
| } | |