qwen4
Datasets
All datasets matching “qwen4”deepcoder-train-deepcoder-qwen4b-instruct-cont-temp0_6-32k-hsrun_step230-codeonly_truncationqwen4-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.olmo-3-preference-mix-deltas_reasoning-yolo_scottmix-chosen_qwen32b_rejected_qwen4b-DECONqwen4-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.rollouts-qwen4b-rl
rollouts-qwen4b-rl — evaluation rollouts
Model: amildravid4292/Qwen3-4B-Base-GRPO-MATH-ck300. Tokenizer used for answer positions: Qwen/Qwen3-4B-Base.
Protocol: 32 rollouts per problem (two seeded batches of 16), temperature 0.6, top-p 0.95,
budget 31,744 generated tokens, seed 20260819. Prompts and grader: the paper's repository
(sophicle/reason). Rollout jsonl files are kept as written (one graded rollout per line, with the
completion), under the run directories as on disk… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-cues/rollouts-qwen4b-rl.Qwen4000-5000