datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
qwen4-exp-tiny-fidelity-root-v1
qwen4_exp random CPU fixture root
A root fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from malaiwah/qwen4-exp-tiny-random-bf16.
The cut
the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture already sits after it). Same… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/qwen4-exp-tiny-fidelity-root-v1.qwen4-exp-tiny-cpu-repro-v1
Qwen4-Exp tiny CPU reproduction receipts
This is an artifact/receipt bundle, not training data and not a single root-format QFS dataset. All four readable synthetic documents are embedded in panel/panel.receipt.json.
Provenance and limitations
This is an independently generated, untrained random checkpoint inspired by Qwen/Qwen3.8-Flash-Next@de4b8e4d43b917e7706784d8bb445c9af86a3540, not a quantization, distillation, behavioral replica, or fine-tune. No source… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/qwen4-exp-tiny-cpu-repro-v1.