mirror of
https://github.com/hanzoai/trolley-bench.git
synced 2026-10-30 15:00:49 +00:00
* Labelled weight hashes correctly: 18 files recorded as sha256 held the Hub's Xet hash, so the README's check failed on the right weights; every weights record now carries the true sha256 and, for Xet-stored files, xet_hash, checked against the Hub paths-info API * Made run/weights.py hash every file itself instead of trusting the cache blob name, and added --check to compare a rerun's meta with the committed one by sha256 * Put DECIDER_MODEL and HF_HUB_OFFLINE=1 into the decider-2b command, since its server reads the model from the environment, and had drive.py record the model-selecting variables as server_env * Shipped scenarios/cells-sample.json (324 stratified v1 cells) with its generator, documented --cells, and said plainly that --limit takes the first cells of one scenario and wording * No answer, count, statistic or page file changed; step 1 of the README still rebuilds every derived file byte for byte
82 lines
2.7 KiB
JSON
82 lines
2.7 KiB
JSON
{
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"model_id": "verdict",
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"code": {
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"repo": "https://github.com/Heman10x-NGU/Verdict-open-jev",
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"commit": "30f15564821626ca5c1ad5b2638c4eb7078787dd"
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},
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"runtime": "Verdict DecisionEngine() (the README path): artifacts/v2/model.onnx fp32 on CPU through ONNX Runtime, calibrator.json from the repo, through the labelled Noul adapter run/verdict_server.py",
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"server_command": [
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"<scratch>/code/Verdict-open-jev/.venv/bin/python",
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"./run/verdict_server.py",
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"8013"
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],
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"startup_s_including_download": 41,
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"probe_answer": {
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"answers": {
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"q": {
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"type": "noul",
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"noul": 0.621689747492702,
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"probabilities": {
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"true": 0.4632211785548574,
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"false": 0.2818790590203089,
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"__insufficient_evidence__": 0.2548997624248337
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},
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"is_abstention": false
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}
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},
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"model": "verdict (heman10x/rlcd-modernbert-151m v2, ONNX fp32 CPU)"
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},
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"weights": [
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{
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"repo": "knowledgator/gliclass-modern-base-v2.0",
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"revision": "9320398ab6ca50946e2edcb9ec89649c0274c978",
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"bytes": 609138602,
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"files": {
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"config.json": {
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"sha256": "a8ecb878ea6e11f129fe870c8aa35038f0f38c81826a9e27f8a0a8f0fd36dd1b",
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"bytes": 3756
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},
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"model.safetensors": {
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"sha256": "40e0d414fc2c2124234dda35c793fec787b190e81a0bc6d74b81a51b927df5c9",
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"xet_hash": "8cac71f29eb222746976fada2cae67ea71822327a7203678b7a64087c7506813",
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"bytes": 605529372
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},
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"special_tokens_map.json": {
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"sha256": "ea97ecdbcc73713039d8d64dbb05e3689495c96657fbd9a18f5bed381be81049",
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"bytes": 694
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},
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"tokenizer.json": {
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"sha256": "8bb449eb0c037aae44115b65905bb339b8f3f74eb37067c19127feb3c0755723",
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"bytes": 3583596
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},
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"tokenizer_config.json": {
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"sha256": "fb915b2473945e35c77ce03a5bcfd3d28900ed767d090ea75231197bd4b63016",
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"bytes": 21184
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}
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}
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}
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],
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"extra_files": [
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{
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"file": "artifacts/v2/model.onnx (heman10x/rlcd-modernbert-151m 2.0.0)",
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"sha256": "4ae01f822538b000fa0e55859d4b3e6b40871d860149397e8784428b2a42ee5e",
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"bytes": 606323181
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},
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{
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"file": "artifacts/v2/calibrator.json (heman10x/rlcd-modernbert-151m 2.0.0)",
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"sha256": "af2a876993148efa0726b6ccf710fe2303897d20c0ce8c7c9036eb50f64d23de",
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"bytes": 1259
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},
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{
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"file": "artifacts/v2/tokenizer.json (heman10x/rlcd-modernbert-151m 2.0.0)",
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"sha256": "8bb449eb0c037aae44115b65905bb339b8f3f74eb37067c19127feb3c0755723",
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"bytes": 3583596
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},
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{
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"file": "artifacts/v2/config.json (heman10x/rlcd-modernbert-151m 2.0.0)",
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"sha256": "303f8eef1009cfdcb0cfba3e653247e625f16a4501e2351bad1a633f1f644695",
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"bytes": 3836
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}
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],
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"note": "calibrator.json in the repo and on Hub main hash af2a8769..., while ARTIFACTS.json still lists 9686e84b...; the repo's committed calibrator was used"
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} |