datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rl-pythonaffine-lgcqfs-affine-tiny-cpu-format-v1
affine tiny CPU format fixture reproducibility
Complete tiny random FORMAT fixture evidence. Round-to-nearest (RTN) storage/reader exercise only; optimizer-not-run. No GPTQ/AWQ/AutoRound optimization, calibrated ModelOpt/CT/QAT quality, trained-model quality ranking, GPU parity, or native serving-kernel correctness claim.
Reconstructed weights are evaluated by the captured native forward. KL is own-head, full-vocabulary on the recorded panel, not a benchmark of training quality.… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/qfs-affine-tiny-cpu-format-v1.affine-centre-band-x7k9e8affine-turnsaffine-sft1Affine-01-serializedaffine-combined-hvm-dpoaffine-complete-datasetAffine-01def_hot7affine-unified-raweval-gliner2-ner-ontonotes5-affine-boundary-smoothing-testeval-gliner2-ner-mit_restaurant-affine-boundary-smoothing-validationeval-gliner2-ner-conll2003-affine-validationweapon-3-91-4sn38-submission-v1eval-gliner2-ner-mit_restaurant-affine-validationeval-gliner2-ner-mit_restaurant-affine-testdef_hot49-3Affine-Ded_Abd_slight_Tronggeval-gliner2-ner-ontonotes5-affine-boundary-smoothing-validationeval-gliner2-ner-wnut2017-affine-boundary-smoothing-validationeval-gliner2-ner-ontonotes5-affine-validationeval-gliner2-ner-fin-affine-testeval-gliner2-ner-ncbi_disease-affine-testsubmission-r5affine-complete-balanced