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 4B-5949/merged-evaluation.json from apus-ailab/APUS-OpenJev-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.4 kB
-
https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/68e5880df6be3bd820345b9233032e8e325bf4c1/4B-5949/merged-evaluation.json
- Command line
-
hf download hf://apus-ailab/APUS-OpenJev-v1@68e5880df6be3bd820345b9233032e8e325bf4c1/4B-5949/merged-evaluation.json
-
curl -L -o merged-evaluation.json https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/68e5880df6be3bd820345b9233032e8e325bf4c1/4B-5949/merged-evaluation.json
3.4 kB
| { | |
| "scope": "80 fixed requests, both explicit efforts; merged-model comparison, not independent generalization evidence", | |
| "checkpoint_step": 5949, | |
| "base_id": "Qwen/Qwen3.5-4B", | |
| "base_revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a", | |
| "comparison": { | |
| "passed": false, | |
| "gate": "identical160_argmax_and_max_probability_delta_le_0.05", | |
| "depths": { | |
| "16": { | |
| "before_correct": 61, | |
| "after_correct": 61, | |
| "changed_decisions": [], | |
| "max_probability_abs_difference": 0.09226870536804199, | |
| "mean_probability_abs_difference": 0.001908167676742778, | |
| "max_logit_abs_difference": 0.5078125, | |
| "mean_logit_abs_difference": 0.026137218475341797 | |
| }, | |
| "32": { | |
| "before_correct": 66, | |
| "after_correct": 66, | |
| "changed_decisions": [], | |
| "max_probability_abs_difference": 0.06145721673965454, | |
| "mean_probability_abs_difference": 0.0017077110185891797, | |
| "max_logit_abs_difference": 0.875, | |
| "mean_logit_abs_difference": 0.03171875 | |
| } | |
| }, | |
| "before_sha256": "7be98e54b67be84ae97a4152adeddd47a351e224cbe9345bae8ca8f44c265964", | |
| "after_sha256": "ac22ede19c6ade99388038292644df50e9891dff162acdb10029bb3bd343537e", | |
| "verified_at_unix": 1789983995.6865954 | |
| }, | |
| "runtime_validation": { | |
| "status": "passed", | |
| "decisions": 160, | |
| "max_probability_delta": 0.0, | |
| "no_jev_import": true, | |
| "long_input_rejected": true, | |
| "invalid_effort_rejected": true, | |
| "text_scope": "Execution smoke only; not TYPE accuracy or speed validation", | |
| "source_sha256": "60a80902675971ff6a054377852b936eec90f49f466eb7b8b077eee7b979f230" | |
| }, | |
| "decision_release": { | |
| "passed": true, | |
| "scope": "Independent BF16 merged variant, frozen80 decision parity; NOT a probability-equivalent replacement", | |
| "post_observation_scope_amendment": true, | |
| "original_numerical_gate_passed": false, | |
| "original_gate": "identical160_argmax_and_max_probability_delta_le_0.05", | |
| "original_comparison_sha256": "97cc94ddebb4f321d3d4ed29c89a0d8b1b3d6570e48bff427c635ba82f67862e", | |
| "decision_agreement": 160, | |
| "total_decisions": 160, | |
| "independent_questions": 80, | |
| "probability_calibration_transfer_validated": false, | |
| "automatic_routing_validated": false, | |
| "required_followup": "Recalibrate all probability, rejection and routing thresholds; independently evaluate new tasks", | |
| "depths": { | |
| "16": { | |
| "before_correct": 61, | |
| "after_correct": 61, | |
| "changed_decisions": [], | |
| "max_probability_abs_difference": 0.09226870536804199, | |
| "mean_probability_abs_difference": 0.001908167676742778, | |
| "max_logit_abs_difference": 0.5078125, | |
| "mean_logit_abs_difference": 0.026137218475341797 | |
| }, | |
| "32": { | |
| "before_correct": 66, | |
| "after_correct": 66, | |
| "changed_decisions": [], | |
| "max_probability_abs_difference": 0.06145721673965454, | |
| "mean_probability_abs_difference": 0.0017077110185891797, | |
| "max_logit_abs_difference": 0.875, | |
| "mean_logit_abs_difference": 0.03171875 | |
| } | |
| }, | |
| "publication_requires": "Further portable-runtime160, weight arithmetic, full file hashes and fresh HF reload gates" | |
| }, | |
| "reviewed_variant": {}, | |
| "decision_parity_passed": true, | |
| "decision_agreement": 160, | |
| "weight_arithmetic_status": "passed", | |
| "raw_inputs_included": false | |
| } | |