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-5949/merged-evaluation.json from apus-ailab/APUS-OpenJev-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/68e5880df6be3bd820345b9233032e8e325bf4c1/9B-5949/merged-evaluation.json
- Command line
-
hf download hf://apus-ailab/APUS-OpenJev-v1@68e5880df6be3bd820345b9233032e8e325bf4c1/9B-5949/merged-evaluation.json
-
curl -L -o merged-evaluation.json https://huggingface.co/apus-ailab/APUS-OpenJev-v1/resolve/68e5880df6be3bd820345b9233032e8e325bf4c1/9B-5949/merged-evaluation.json
3.45 kB
| { | |
| "scope": "80 fixed requests, both explicit efforts; merged-model comparison, not independent generalization evidence", | |
| "checkpoint_step": 5949, | |
| "base_id": "Qwen/Qwen3.5-9B", | |
| "base_revision": "c202236235762e1c871ad0ccb60c8ee5ba337b9a", | |
| "comparison": { | |
| "passed": false, | |
| "gate": "identical160_argmax_and_max_probability_delta_le_0.05", | |
| "depths": { | |
| "16": { | |
| "before_correct": 66, | |
| "after_correct": 67, | |
| "changed_decisions": [ | |
| { | |
| "id": "mind2web:8368b990-c6ca-4cfe-a7ab-c2a88697639d:bf14f1d4-470f-4110-b3f4-019a9f7d0aed", | |
| "before": "candidate-e76caeae9d53c8942ed1", | |
| "after": "candidate-8b6280aa9682e1a79ce0", | |
| "gold": "candidate-8b6280aa9682e1a79ce0" | |
| } | |
| ], | |
| "max_probability_abs_difference": 0.07854090631008148, | |
| "mean_probability_abs_difference": 0.0016820763134663653, | |
| "max_logit_abs_difference": 0.375, | |
| "mean_logit_abs_difference": 0.03666374206542969 | |
| }, | |
| "32": { | |
| "before_correct": 67, | |
| "after_correct": 67, | |
| "changed_decisions": [], | |
| "max_probability_abs_difference": 0.04566878080368042, | |
| "mean_probability_abs_difference": 0.0006383866207283973, | |
| "max_logit_abs_difference": 0.25, | |
| "mean_logit_abs_difference": 0.03703125 | |
| } | |
| }, | |
| "before_sha256": "4b26f109ac83f3833136c6fd158c59f5282d1752592fb71f8b27424ce18aabf6", | |
| "after_sha256": "4ea7118b45a1b3fc94adef5bf2699210e87b1cfa2564e051b645d71c201278f7", | |
| "verified_at_unix": 1789984732.9972832 | |
| }, | |
| "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": "1a9e55991d3a91dc4c704b080f6e251f3be244bfddb56246a0bdbcb00eb278b1" | |
| }, | |
| "decision_release": {}, | |
| "reviewed_variant": { | |
| "scope": "reviewed_variant_artifact", | |
| "passed": true, | |
| "private_only": true, | |
| "post_observation_scope_amendment": true, | |
| "original_comparison_sha256": "0a5ad3461c175596f1bcf76d0ef1142c2241b8d0044c1548d52a0e1f9cd0fb5d", | |
| "allowed_changed_ids": [ | |
| "mind2web:8368b990-c6ca-4cfe-a7ab-c2a88697639d:bf14f1d4-470f-4110-b3f4-019a9f7d0aed" | |
| ], | |
| "original_numerical_gate_passed": false, | |
| "original_decision_parity_passed": false, | |
| "decision_agreement": 159, | |
| "total_decisions": 160, | |
| "independent_questions": 80, | |
| "no_calibration_transfer": true, | |
| "probability_calibration_transfer_validated": false, | |
| "review": "One low-depth Browser decision changed from wrong to correct; high unchanged. This authorizes an independently measured private BF16 variant, NOT an adapter-equivalent replacement and NOT an improvement claim. Both earlier equivalence gates remain failed.", | |
| "before_top2_margin": 0.007057115435600281, | |
| "after_top2_margin": 0.12943440675735474, | |
| "required_final_gates": [ | |
| "all adapted weight matrices equal expected merge arithmetic", | |
| "portable runtime agrees with merged reference on160 decisions", | |
| "all artifacts SHA verified after pinned HF download", | |
| "fresh-process downloaded runtime verification" | |
| ] | |
| }, | |
| "decision_parity_passed": false, | |
| "decision_agreement": 159, | |
| "weight_arithmetic_status": "passed", | |
| "raw_inputs_included": false | |
| } | |